Triple

T12412266
Position Surface form Disambiguated ID Type / Status
Subject Christophe Dugarry E296545 entity
Predicate givenName P17 FINISHED
Object Christophe
Christophe is a masculine given name of Greek origin commonly used in French-speaking countries.
 E995011 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: Christophe | Statement: [Christophe Dugarry, givenName, Christophe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Christophe
Context triple: [Christophe Dugarry, givenName, Christophe]
  • A. Christophe
    Christophe is a French theoretical physicist and science communicator known for his popular science books and collaborations with Stephen Hawking.
  • B. Christophe
    Christophe is a French surname borne by individuals such as Anne-Athénaïre Christophe.
  • C. Hervé
    Hervé is a French given name, often considered a variant of the English name Harvey, and is commonly used for males in French-speaking regions.
  • D. Benoît
    Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
  • E. Julien BriseBois
    Julien BriseBois is a Canadian ice hockey executive best known for building and leading the Tampa Bay Lightning into a modern NHL powerhouse and multiple-time Stanley Cup champion.
  • 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: Christophe
Triple: [Christophe Dugarry, givenName, Christophe]
Generated description
Christophe is a masculine given name of Greek origin commonly used in French-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Christophe
Target entity description: Christophe is a masculine given name of Greek origin commonly used in French-speaking countries.
  • A. Christophe
    Christophe is a French theoretical physicist and science communicator known for his popular science books and collaborations with Stephen Hawking.
  • B. Christophe
    Christophe is a French surname borne by individuals such as Anne-Athénaïre Christophe.
  • C. Hervé
    Hervé is a French given name, often considered a variant of the English name Harvey, and is commonly used for males in French-speaking regions.
  • D. Benoît
    Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
  • E. Julien BriseBois
    Julien BriseBois is a Canadian ice hockey executive best known for building and leading the Tampa Bay Lightning into a modern NHL powerhouse and multiple-time Stanley Cup champion.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d6b0f9c8190813b6fe3f97570ac completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66856236c8190a70ef287c0146116 completed May 2, 2026, 9:10 p.m.
NEDg Description generation batch_69f669527fe881909baeb84ccff506c8 completed May 2, 2026, 9:14 p.m.
NED2 Entity disambiguation (via description) batch_69f669fbb9f88190b0f5cc5bb758d132 completed May 2, 2026, 9:17 p.m.
Created at: April 8, 2026, 9:55 p.m.