Triple

T5773163
Position Surface form Disambiguated ID Type / Status
Subject Philippe Noiret E127375 entity
Predicate familyName P18 FINISHED
Object Noiret
Noiret is a French surname most notably associated with acclaimed actor Philippe Noiret.
 E544899 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: Noiret | Statement: [Philippe Noiret, familyName, Noiret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Noiret
Context triple: [Philippe Noiret, familyName, Noiret]
  • A. Cottévrard
    Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
  • B. Tignère
    Tignère is a town and commune located in Cameroon's Adamawa Region, known for its highland setting and role as a local administrative and trading center.
  • C. Drouet
    Drouet is a French surname most notably associated with Jean-Baptiste Drouet, the postmaster who helped identify and arrest King Louis XVI during his attempted flight in 1791.
  • D. Sauldre
    Sauldre is a river in central France that flows through the Cher department and is a tributary of the larger Sauldre river system.
  • E. Aigues-Mortais
    Aigues-Mortais are the inhabitants of Aigues-Mortes, a historic fortified town in the Occitanie region of southern France.
  • 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: Noiret
Triple: [Philippe Noiret, familyName, Noiret]
Generated description
Noiret is a French surname most notably associated with acclaimed actor Philippe Noiret.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Noiret
Target entity description: Noiret is a French surname most notably associated with acclaimed actor Philippe Noiret.
  • A. Cottévrard
    Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
  • B. Tignère
    Tignère is a town and commune located in Cameroon's Adamawa Region, known for its highland setting and role as a local administrative and trading center.
  • C. Drouet
    Drouet is a French surname most notably associated with Jean-Baptiste Drouet, the postmaster who helped identify and arrest King Louis XVI during his attempted flight in 1791.
  • D. Sauldre
    Sauldre is a river in central France that flows through the Cher department and is a tributary of the larger Sauldre river system.
  • E. Aigues-Mortais
    Aigues-Mortais are the inhabitants of Aigues-Mortes, a historic fortified town in the Occitanie region of southern France.
  • 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_69c00834f6308190851b0abeddd8ed7e completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029af681081908276e99c568561ce completed March 22, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e686ad88190b34e5e94145b44dc completed March 22, 2026, 11:42 p.m.
NEDg Description generation batch_69c08d238384819089104f5c778ec315 completed March 23, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_69c08dac9eec8190996f6c537777801b completed March 23, 2026, 12:47 a.m.
Created at: March 22, 2026, 3:50 p.m.