Triple

T14372840
Position Surface form Disambiguated ID Type / Status
Subject Moët Hennessy E356397 entity
Predicate brand P1500 FINISHED
Object Hennessy V.S E324684 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 V.S | Statement: [Moët Hennessy, brand, Hennessy V.S]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hennessy V.S
Context triple: [Moët Hennessy, brand, Hennessy V.S]
  • A. Hennessy
    Hennessy is a surname most prominently associated with John L. Hennessy, a renowned computer scientist and former president of Stanford University.
  • B. Hennessy chosen
    Hennessy is a world-renowned French cognac producer, recognized as one of the leading and most prestigious brands in the global spirits industry.
  • C. Hennessy
    Hennessy was a prominent American Thoroughbred racehorse and successful sire known for producing multiple Grade 1 winners and influential bloodlines.
  • D. Branson Cognac
    Branson Cognac is a premium cognac brand associated with rapper and entrepreneur 50 Cent, known for its luxury positioning in the spirits market.
  • E. Remy Martin
    Remy Martin is an American rapper and member of the hip hop group Terror Squad, known for hits like "Conceited" and "Lean Back."
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fb2082c8190b42cc5f2bab4f574 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551002948190aeb93d245e1449a7 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:15 a.m.