Triple

T23054708
Position Surface form Disambiguated ID Type / Status
Subject Sergeant Archibald Ballantine E574119 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: [Sergeant Archibald Ballantine, familyName, Ballantine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ballantine
Context triple: [Sergeant Archibald 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. Northern Spirit
    Northern Spirit was a late-1990s British train operating company in northern England that ran regional and local passenger rail services before being rebranded as Arriva Trains Northern.
  • D. Hennessy
    Hennessy is a surname most prominently associated with John L. Hennessy, a renowned computer scientist and former president of Stanford University.
  • E. Hennessy
    Hennessy is a world-renowned French cognac producer, recognized as one of the leading and most prestigious brands in the global spirits industry.
  • 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1867eaed0819095c7da6b06101b12 completed April 29, 2026, 4:18 a.m.
Created at: April 17, 2026, 3:54 p.m.