Triple

T3640663
Position Surface form Disambiguated ID Type / Status
Subject Jill Hennessy E77179 entity
Predicate familyName P18 FINISHED
Object Hennessy E184205 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: Hennessy | Statement: [Jill Hennessy, familyName, Hennessy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hennessy
Context triple: [Jill Hennessy, familyName, Hennessy]
  • A. Hennessy chosen
    Hennessy is a surname most prominently associated with John L. Hennessy, a renowned computer scientist and former president of Stanford University.
  • B. Hennessy
    Hennessy is a world-renowned French cognac producer, recognized as one of the leading and most prestigious brands in the global spirits industry.
  • C. Cognac
    Cognac is a renowned French town in the Charente department, famous worldwide as the center of production for the eponymous brandy.
  • D. Ballantine
    Ballantine is the surname of the individual after whom the prestigious Stuart Ballantine Medal for scientific and engineering achievement is named.
  • E. Ciroc Star
    "Ciroc Star" is a song by the American indie pop band Chester French, known for its blend of catchy melodies and polished, genre-blurring production.
  • 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc357c3308190bd8801d68244a53e completed March 8, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f2a8a5c8190b84dcf4b4b8a939e completed March 13, 2026, 5:53 p.m.
Created at: March 8, 2026, 3:24 p.m.