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.