Triple

T18737392
Position Surface form Disambiguated ID Type / Status
Subject Kate Hennessy E458200 entity
Predicate familyName P18 FINISHED
Object Hennessy 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: Hennessy | Statement: [Kate Hennessy, familyName, Hennessy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hennessy
Context triple: [Kate Hennessy, familyName, Hennessy]
  • A. Hennessy
    Hennessy was a prominent American Thoroughbred racehorse and successful sire known for producing multiple Grade 1 winners and influential bloodlines.
  • B. Hennessy chosen
    Hennessy is a surname most prominently associated with John L. Hennessy, a renowned computer scientist and former president of Stanford University.
  • C. Hennessy
    Hennessy is a world-renowned French cognac producer, recognized as one of the leading and most prestigious brands in the global spirits industry.
  • D. Remy Martin
    Remy Martin is an American professional basketball player and dynamic point guard known for his standout collegiate career at Arizona State University and later at the University of Kansas, where he helped win a national championship.
  • 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 (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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5768b80ac8190bc05628d64f86fc9 completed April 20, 2026, 12:42 a.m.
Created at: April 10, 2026, 11:51 a.m.