Triple

T8771823
Position Surface form Disambiguated ID Type / Status
Subject Philippe Goujon E208481 entity
Predicate familyName P18 FINISHED
Object Goujon
Goujon is a French surname borne by various notable figures in politics, arts, and other fields.
 E757898 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: Goujon | Statement: [Philippe Goujon, familyName, Goujon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Goujon
Context triple: [Philippe Goujon, familyName, Goujon]
  • A. Pignon
    Pignon is a small town in northern Haiti known for its rural character and agricultural surroundings.
  • B. Tête-de-Boule
    Tête-de-Boule is a historical French exonym for the Atikamekw, an Indigenous people of the upper Saint-Maurice River region in Quebec, Canada.
  • C. Hautepierre
    Hautepierre is a residential district in the western part of Strasbourg, France, known for its large housing estates and local commercial centers.
  • D. Larroquette
    Larroquette is the surname of John Larroquette, an American actor best known for his Emmy-winning role as Dan Fielding on the sitcom "Night Court."
  • E. Lugrin
    Lugrin is a commune in eastern France on the southern shore of Lake Geneva, known historically as one of the sites where the Évian Accords negotiations took place.
  • 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: Goujon
Triple: [Philippe Goujon, familyName, Goujon]
Generated description
Goujon is a French surname borne by various notable figures in politics, arts, and other fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Goujon
Target entity description: Goujon is a French surname borne by various notable figures in politics, arts, and other fields.
  • A. Pignon
    Pignon is a small town in northern Haiti known for its rural character and agricultural surroundings.
  • B. Tête-de-Boule
    Tête-de-Boule is a historical French exonym for the Atikamekw, an Indigenous people of the upper Saint-Maurice River region in Quebec, Canada.
  • C. Hautepierre
    Hautepierre is a residential district in the western part of Strasbourg, France, known for its large housing estates and local commercial centers.
  • D. Larroquette
    Larroquette is the surname of John Larroquette, an American actor best known for his Emmy-winning role as Dan Fielding on the sitcom "Night Court."
  • E. Lugrin
    Lugrin is a commune in eastern France on the southern shore of Lake Geneva, known historically as one of the sites where the Évian Accords negotiations took place.
  • 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_69ca835edb4481909b4aafb616dc5eb7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f2c54c08190a904723d1f0527a4 completed March 31, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51b7d05c8190b84e02a8796d3422 completed April 3, 2026, 5:35 a.m.
NEDg Description generation batch_69cf55016d108190b6de72787962564f completed April 3, 2026, 5:49 a.m.
NED2 Entity disambiguation (via description) batch_69cf55940918819088ed8a6ea2f8f460 completed April 3, 2026, 5:52 a.m.
Created at: March 30, 2026, 6:41 p.m.