Triple

T6905728
Position Surface form Disambiguated ID Type / Status
Subject BU Terriers E159807 entity
Predicate notableCoach P550 FINISHED
Object Jack Parker E177779 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: Jack Parker | Statement: [BU Terriers, notableCoach, Jack Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Parker
Context triple: [BU Terriers, notableCoach, Jack Parker]
  • A. Jack Parker chosen
    Jack Parker is a legendary American college ice hockey coach best known for his long, highly successful tenure leading Boston University’s men’s hockey program to multiple national championships.
  • B. Barry Parker
    Barry Parker was an influential English architect and urban planner known for co-designing early garden suburbs and helping shape the Garden City movement in the early 20th century.
  • C. Marcus Parker
    Marcus Parker is a person known primarily as the brother of former NBA player Anthony Parker.
  • D. Peter Blaker
    Peter Blaker was a British Conservative politician who served in several ministerial roles, particularly in defense and foreign affairs, during the 1970s and early 1980s.
  • E. Michael Parker
    Michael Parker is a film editor best known for his work on the British comedy-drama "Made in Dagenham."
  • 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_69c68839ccb88190b4aa5cc1aca3448f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d98b07f0819093595e958fa0317b completed March 27, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748fc81948190aa4ba339e5a9ec6d completed March 28, 2026, 3:20 a.m.
Created at: March 27, 2026, 2:25 p.m.