Triple

T19098059
Position Surface form Disambiguated ID Type / Status
Subject Noce Blanche E467458 entity
Predicate starring P1507 FINISHED
Object François Négret
François Négret is a French actor known for his roles in films such as the 1989 drama "Noce Blanche."
E1358199 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: François Négret | Statement: [Noce Blanche, starring, François Négret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: François Négret
Context triple: [Noce Blanche, starring, François Négret]
  • A. Jacques Villeglé
    Jacques Villeglé was a French artist best known for his torn poster collages that transformed urban street advertisements into politically and socially charged works of art.
  • B. Pierre-Roger
    Pierre-Roger is the given name of Pierre-Roger Ducos, a French politician who played a significant role during the French Revolution and the early Napoleonic era.
  • C. François Alaux
    François Alaux is a French filmmaker best known for co-directing the Oscar-winning animated short film "Logorama."
  • D. René Guiette
    René Guiette was a Belgian painter and art critic associated with modernist movements in the early 20th century.
  • E. Pierre Roger
    Pierre Roger, later known as Pope Clement VI, was a 14th-century French pontiff of the Avignon Papacy noted for his lavish court and political influence during the Black Death.
  • 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: François Négret
Triple: [Noce Blanche, starring, François Négret]
Generated description
François Négret is a French actor known for his roles in films such as the 1989 drama "Noce Blanche."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: François Négret
Target entity description: François Négret is a French actor known for his roles in films such as the 1989 drama "Noce Blanche."
  • A. Jacques Villeglé
    Jacques Villeglé was a French artist best known for his torn poster collages that transformed urban street advertisements into politically and socially charged works of art.
  • B. Pierre-Roger
    Pierre-Roger is the given name of Pierre-Roger Ducos, a French politician who played a significant role during the French Revolution and the early Napoleonic era.
  • C. François Alaux
    François Alaux is a French filmmaker best known for co-directing the Oscar-winning animated short film "Logorama."
  • D. René Guiette
    René Guiette was a Belgian painter and art critic associated with modernist movements in the early 20th century.
  • E. Pierre Roger
    Pierre Roger, later known as Pope Clement VI, was a 14th-century French pontiff of the Avignon Papacy noted for his lavish court and political influence during the Black Death.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e36b279c819091a8d51f044bc644 completed April 20, 2026, 8:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05dd98a1d48190bb46127c0bbc2351 completed May 14, 2026, 2:35 p.m.
NEDg Description generation batch_6a05dfcf14788190a75298641ba20e0e completed May 14, 2026, 2:44 p.m.
NED2 Entity disambiguation (via description) batch_6a05e10ae8188190a9dce95fa838ff7f completed May 14, 2026, 2:49 p.m.
Created at: April 10, 2026, 12:04 p.m.