Triple
T8719804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Notre-Dame de Paris (1998 musical) |
E206982
|
entity |
| Predicate | hasKoreanVersion |
P84257
|
FINISHED |
| Object |
Notre Dame de Paris (Korean cast version)
Notre Dame de Paris (Korean cast version) is a Korean-language production of the French musical "Notre-Dame de Paris," featuring Korean performers and localized staging while retaining the original show's music and story.
|
E756345
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Notre Dame de Paris (Korean cast version) | Statement: [Notre-Dame de Paris (1998 musical), hasKoreanVersion, Notre Dame de Paris (Korean cast version)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Notre Dame de Paris (Korean cast version) Context triple: [Notre-Dame de Paris (1998 musical), hasKoreanVersion, Notre Dame de Paris (Korean cast version)]
-
A.
Danse mon Esmeralda
"Danse mon Esmeralda" is a powerful, emotional ballad from the 1998 French musical Notre-Dame de Paris, sung by Quasimodo as a climactic tribute to his love for Esmeralda.
-
B.
Notre-Dame de Paris (1998 musical)
Notre-Dame de Paris (1998 musical) is a French-Canadian stage adaptation of Victor Hugo’s novel "The Hunchback of Notre-Dame," renowned for its pop-rock score and international success.
-
C.
A coeur fendre
"A coeur fendre" is a song by French singer Alizée from her 2010 album "Une enfant du siècle," reflecting the record’s more mature, electro-pop style.
-
D.
Les Parisiens
Les Parisiens is the widely used French nickname for Paris Saint-Germain Football Club and its players, emphasizing their identity as representatives of Paris.
-
E.
le Tapissier de Notre-Dame
"Le Tapissier de Notre-Dame" was the ironic nickname of French marshal François-Henri de Montmorency, duc de Luxembourg, referring to his many battlefield victories commemorated by captured enemy flags hung in Notre-Dame Cathedral.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Notre Dame de Paris (Korean cast version) Triple: [Notre-Dame de Paris (1998 musical), hasKoreanVersion, Notre Dame de Paris (Korean cast version)]
Generated description
Notre Dame de Paris (Korean cast version) is a Korean-language production of the French musical "Notre-Dame de Paris," featuring Korean performers and localized staging while retaining the original show's music and story.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Notre Dame de Paris (Korean cast version) Target entity description: Notre Dame de Paris (Korean cast version) is a Korean-language production of the French musical "Notre-Dame de Paris," featuring Korean performers and localized staging while retaining the original show's music and story.
-
A.
Danse mon Esmeralda
"Danse mon Esmeralda" is a powerful, emotional ballad from the 1998 French musical Notre-Dame de Paris, sung by Quasimodo as a climactic tribute to his love for Esmeralda.
-
B.
Notre-Dame de Paris (1998 musical)
Notre-Dame de Paris (1998 musical) is a French-Canadian stage adaptation of Victor Hugo’s novel "The Hunchback of Notre-Dame," renowned for its pop-rock score and international success.
-
C.
A coeur fendre
"A coeur fendre" is a song by French singer Alizée from her 2010 album "Une enfant du siècle," reflecting the record’s more mature, electro-pop style.
-
D.
Les Parisiens
Les Parisiens is the widely used French nickname for Paris Saint-Germain Football Club and its players, emphasizing their identity as representatives of Paris.
-
E.
le Tapissier de Notre-Dame
"Le Tapissier de Notre-Dame" was the ironic nickname of French marshal François-Henri de Montmorency, duc de Luxembourg, referring to his many battlefield victories commemorated by captured enemy flags hung in Notre-Dame Cathedral.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKoreanVersion Context triple: [Notre-Dame de Paris (1998 musical), hasKoreanVersion, Notre Dame de Paris (Korean cast version)]
-
A.
hasChineseVersion
Indicates that an entity has a corresponding version or representation available in Chinese.
-
B.
hasKaraokeVersion
Indicates that an entity has a corresponding karaoke (instrumental or sing-along) version of itself.
-
C.
hasOfficialNameInJapanese
Indicates that an entity has an official, formally recognized name expressed in the Japanese language.
-
D.
hasEnglishEdition
Indicates that one entity has a version or edition of itself that is produced or available in the English language.
-
E.
hasNameInJapanese
Indicates that an entity is associated with a specific name expressed in the Japanese language.
- F. None of above. chosen
Provenance (7 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d02a52c81909f93622ae6920b80 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf516d9d9081909230441dd349dc9e |
completed | April 3, 2026, 5:34 a.m. |
| NEDg | Description generation | batch_69cf53a27e2c8190a639d3b1007c11c3 |
completed | April 3, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf54129d888190b61d67f99ad36cb8 |
completed | April 3, 2026, 5:45 a.m. |
| PD | Predicate disambiguation | batch_69cc457093188190959287a6458651c6 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc489dd528819084ed5d88bd8bb3d6 |
completed | March 31, 2026, 10:20 p.m. |
Created at: March 30, 2026, 6:36 p.m.