Triple

T14879457
Position Surface form Disambiguated ID Type / Status
Subject Dominique Dunne E349959 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: [Dominique Dunne, givenName, Dominique]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dominique
Context triple: [Dominique Dunne, 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
    Dominique is an intimate apparel brand included in the Vanity Fair Brands portfolio, known for its bras and lingerie.
  • C. 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.
  • D. Dominique Francon
    Dominique Francon is a central, complex heroine in Ayn Rand’s The Fountainhead, known for her beauty, fierce independence, and conflicted idealism.
  • E. Françoise
    Françoise is a central character in Éric Rohmer’s film "My Night at Maud’s," representing the devout, idealized young woman with whom the protagonist becomes romantically involved.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e622388190b2bf91cd10b9821d completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b5670108190b41ef95dc318be60 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:55 a.m.