Triple

T12368579
Position Surface form Disambiguated ID Type / Status
Subject Brant Daugherty E294935 entity
Predicate name P16 FINISHED
Object Brant Daugherty E294935 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: Brant Daugherty | Statement: [Brant Daugherty, name, Brant Daugherty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brant Daugherty
Context triple: [Brant Daugherty, name, Brant Daugherty]
  • A. Brant Daugherty chosen
    Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
  • B. Brant Broughton
    Brant Broughton is a small rural village in Lincolnshire, England, known for its historic buildings and traditional English countryside setting.
  • C. Brian Routh
    Brian Routh was a British performance artist and musician best known as one half of the avant-garde comedy and performance duo The Kipper Kids.
  • D. Matt Harpring
    Matt Harpring is a former American professional basketball player and standout small forward best known for his collegiate career at Georgia Tech and his NBA tenure with teams including the Utah Jazz.
  • E. Matt Graver
    Matt Graver is a seasoned and morally ambiguous CIA operative who orchestrates covert operations against Mexican drug cartels in the film "Sicario."
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa65a608190a1597a49751185a8 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f726570a2481909f417be6e38d283a completed May 3, 2026, 10:41 a.m.
Created at: April 8, 2026, 9:54 p.m.