Triple

T13384078
Position Surface form Disambiguated ID Type / Status
Subject Up All Night E319392 entity
Predicate hasMainCharacter P1183 FINISHED
Object Chris Brinkley E1036376 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: Chris Brinkley | Statement: [Up All Night, hasMainCharacter, Chris Brinkley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Brinkley
Context triple: [Up All Night, hasMainCharacter, Chris Brinkley]
  • A. Chris Brinkley chosen
    Chris Brinkley is a fictional character portrayed by actor William Emerson Arnett.
  • B. Michael Parsons
    Michael Parsons is an engineer and designer best known for his role in creating Istanbul’s iconic 15 July Martyrs Bridge (formerly the Bosphorus Bridge).
  • C. Bradley Carnell
    Bradley Carnell is a South African former professional defender and current soccer coach known for leading Major League Soccer expansion club St. Louis City SC.
  • D. Brant Broughton
    Brant Broughton is a small rural village in Lincolnshire, England, known for its historic buildings and traditional English countryside setting.
  • E. Luke Brattan
    Luke Brattan is an Australian professional footballer and midfielder known for his playmaking ability in the A-League.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce80158819082156eaeaeda3bd8 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7306c18d481908ebc8f802e474479 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:33 p.m.