Triple

T22704599
Position Surface form Disambiguated ID Type / Status
Subject Arnaud de Puyfontaine E561415 entity
Predicate givenName P17 FINISHED
Object Arnaud NE NERFINISHED

How this triple was built (2 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: Arnaud | Statement: [Arnaud de Puyfontaine, givenName, Arnaud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arnaud
Context triple: [Arnaud de Puyfontaine, givenName, Arnaud]
  • A. Arnaud
    Arnaud is a small commune located in Haiti’s Nippes Department.
  • B. Arnaud chosen
    Arnaud is a French surname borne by various notable individuals in fields such as the arts, politics, and sports.
  • C. Arnaud-Guilhem
    Arnaud-Guilhem is a small commune in southwestern France, located in the Haute-Garonne department in the Occitanie region.
  • D. Amaury
    Amaury is a masculine given name of French origin, historically borne by several medieval nobles and knights.
  • E. Benoît
    Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178cdc93481908f85d04560f8c285 completed April 29, 2026, 3:19 a.m.
Created at: April 17, 2026, 3:16 p.m.