Triple

T5904816
Position Surface form Disambiguated ID Type / Status
Subject Vivant Denon E131317 entity
Predicate givenName P17 FINISHED
Object Dominique E134253 NE FINISHED

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: Dominique | Statement: [Vivant Denon, givenName, Dominique]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dominique
Context triple: [Vivant Denon, givenName, Dominique]
  • A. Dominique chosen
    Dominique is a French given name commonly used for both males and females, notably borne by figures such as former IMF chief Dominique Strauss-Kahn.
  • B. Dominique Blanc
    Dominique Blanc is an acclaimed French actress known for her powerful performances in film, theatre, and television, and for winning multiple César Awards.
  • C. Françoise
    Françoise is the given name of Louise de La Vallière, a 17th-century French noblewoman best known as a mistress of King Louis XIV.
  • D. Armande
    Armande is a French given name historically associated with figures in the performing arts, notably in 17th-century France.
  • E. Dominique Schnapper
    Dominique Schnapper is a French sociologist and former member of the Constitutional Council, known for her work on citizenship, democracy, and minority integration.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c0085864a88190a569c05ff7d65f29 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c037395a7c8190a44197a5415101f6 completed March 22, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b16ba6c881908e9a909bf86ea92d completed March 23, 2026, 3:20 a.m.
Created at: March 22, 2026, 3:59 p.m.