Triple

T18220845
Position Surface form Disambiguated ID Type / Status
Subject McBride E436298 entity
Predicate hasPart P35 FINISHED
Object McBride: Dogged 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: McBride: Dogged | Statement: [McBride, hasPart, McBride: Dogged]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McBride: Dogged
Context triple: [McBride, hasPart, McBride: Dogged]
  • A. McBride chosen
    McBride is a series of American television mystery films starring John Larroquette as a dogged defense attorney solving complex criminal cases.
  • B. McBride
    McBride is a common Irish and Scottish surname historically associated with Gaelic origins and widespread in English-speaking countries.
  • C. McBride
    McBride is a small village in east-central British Columbia, Canada, known as a service and transportation hub in the Robson Valley surrounded by the Rocky and Cariboo Mountains.
  • D. MacBride
    MacBride is an Irish surname most notably associated with Seán MacBride, a Nobel Peace Prize–winning politician and human rights advocate.
  • E. McGuire
    McGuire is a surname most notably associated with American actress Dorothy McGuire, known for her work in classic Hollywood films.
  • 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e47b5bfc819085c5935c08361ba9 completed April 19, 2026, 2:19 p.m.
Created at: April 10, 2026, 10:32 a.m.