Triple
T14455747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delicacy |
E358454
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Xavier Rigault
Xavier Rigault is a film producer known for his work on the French drama "Delicacy."
|
E1129323
|
NE FINISHED |
How this triple was built (4 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: Xavier Rigault | Statement: [Delicacy, producer, Xavier Rigault]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xavier Rigault Context triple: [Delicacy, producer, Xavier Rigault]
-
A.
Xavier Fabre
Xavier Fabre is a French architect known for designing prominent cultural venues, including the Mariinsky Concert Hall in Saint Petersburg.
-
B.
Raoul Rigault
Raoul Rigault was a radical French journalist and revolutionary best known as the zealous head of police and prominent figure in the 1871 Paris Commune.
-
C.
Gabriel Leveque
Gabriel Leveque was an artist known for creating religious murals, including notable works in Port-au-Prince’s Holy Trinity Cathedral.
-
D.
Bruno Pelletier
Bruno Pelletier is a Canadian singer and musical theatre actor best known internationally for his role as Gringoire in the hit French musical Notre-Dame de Paris.
-
E.
Anthony Veiller
Anthony Veiller was an American screenwriter known for his work on notable mid-20th-century films, including several acclaimed Hollywood dramas and thrillers.
- 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: Xavier Rigault Triple: [Delicacy, producer, Xavier Rigault]
Generated description
Xavier Rigault is a film producer known for his work on the French drama "Delicacy."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xavier Rigault Target entity description: Xavier Rigault is a film producer known for his work on the French drama "Delicacy."
-
A.
Xavier Fabre
Xavier Fabre is a French architect known for designing prominent cultural venues, including the Mariinsky Concert Hall in Saint Petersburg.
-
B.
Raoul Rigault
Raoul Rigault was a radical French journalist and revolutionary best known as the zealous head of police and prominent figure in the 1871 Paris Commune.
-
C.
Gabriel Leveque
Gabriel Leveque was an artist known for creating religious murals, including notable works in Port-au-Prince’s Holy Trinity Cathedral.
-
D.
Bruno Pelletier
Bruno Pelletier is a Canadian singer and musical theatre actor best known internationally for his role as Gringoire in the hit French musical Notre-Dame de Paris.
-
E.
Anthony Veiller
Anthony Veiller was an American screenwriter known for his work on notable mid-20th-century films, including several acclaimed Hollywood dramas and thrillers.
- F. None of above. chosen
Provenance (5 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91a9c0d48190ae015e5e0db806ca |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bbfc6048190897f064a5686ebf8 |
completed | May 9, 2026, 1:19 a.m. |
| NEDg | Description generation | batch_69fe8cfd57dc81909ba5789fefa0092c |
completed | May 9, 2026, 1:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe8d955d2c819087bb42e644478fbe |
completed | May 9, 2026, 1:27 a.m. |
Created at: April 10, 2026, 1:19 a.m.