Triple

T20453800
Position Surface form Disambiguated ID Type / Status
Subject Lesley Frost Ballantine E501722 entity
Predicate familyName P18 FINISHED
Object Ballantine 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: Ballantine | Statement: [Lesley Frost Ballantine, familyName, Ballantine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ballantine
Context triple: [Lesley Frost Ballantine, familyName, Ballantine]
  • A. Ballantine chosen
    Ballantine is the surname of the individual after whom the prestigious Stuart Ballantine Medal for scientific and engineering achievement is named.
  • B. Ballantine’s
    Ballantine’s is a well-known Scotch whisky brand recognized globally for its blended whiskies and long-standing heritage in the spirits industry.
  • C. Hennessy
    Hennessy is a surname most prominently associated with John L. Hennessy, a renowned computer scientist and former president of Stanford University.
  • D. Hennessy
    Hennessy is a world-renowned French cognac producer, recognized as one of the leading and most prestigious brands in the global spirits industry.
  • E. Hennessy
    Hennessy was a prominent American Thoroughbred racehorse and successful sire known for producing multiple Grade 1 winners and influential bloodlines.
  • 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68d04ca4081909b428c31d16fca10 completed April 20, 2026, 8:31 p.m.
Created at: April 16, 2026, 11:32 a.m.