Triple

T11375768
Position Surface form Disambiguated ID Type / Status
Subject Anne-Athénaïre Christophe E269462 entity
Predicate familyName P18 FINISHED
Object Christophe
Christophe is a French surname borne by individuals such as Anne-Athénaïre Christophe.
 E922102 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: [Anne-Athénaïre Christophe, familyName, Christophe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Christophe
Context triple: [Anne-Athénaïre Christophe, familyName, Christophe]
  • A. Christophe
    Christophe is a French theoretical physicist and science communicator known for his popular science books and collaborations with Stephen Hawking.
  • B. 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.
  • C. Benoît
    Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
  • D. 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.
  • E. Laurent
    Laurent is a central figure in Émile Zola’s novel "Thérèse Raquin," known as Thérèse’s lover and accomplice in a dark, psychologically driven crime.
  • 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: [Anne-Athénaïre Christophe, familyName, Christophe]
Generated description
Christophe is a French surname borne by individuals such as Anne-Athénaïre Christophe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Christophe
Target entity description: Christophe is a French surname borne by individuals such as Anne-Athénaïre Christophe.
  • A. Christophe
    Christophe is a French theoretical physicist and science communicator known for his popular science books and collaborations with Stephen Hawking.
  • B. 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.
  • C. Benoît
    Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
  • D. 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.
  • E. Laurent
    Laurent is a Belgian prince, the younger son of King Albert II and Queen Paola, known for his environmental interests and occasional public controversies.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea8e6d44819095f949581421e98e completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e55697b2388190929d7e0b15d809ba completed April 19, 2026, 10:26 p.m.
NEDg Description generation batch_69e562c7de3c8190befb6d7131129a2c completed April 19, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69e56a776390819082d47ad00cf1862b completed April 19, 2026, 11:51 p.m.
Created at: April 8, 2026, 9:33 p.m.