Triple

T16191642
Position Surface form Disambiguated ID Type / Status
Subject That's My Boy E392954 entity
Predicate cinematographyBy P1953 FINISHED
Object Brandon Trost E367103 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: Brandon Trost | Statement: [That's My Boy, cinematographyBy, Brandon Trost]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brandon Trost
Context triple: [That's My Boy, cinematographyBy, Brandon Trost]
  • A. Brandon Trost chosen
    Brandon Trost is an American cinematographer and director known for his dynamic, stylized visual work on high-energy action and genre films.
  • B. Jason Trost
    Jason Trost is an American filmmaker and actor best known for creating and starring in the cult superhero film series "The FP."
  • C. Troy Buswell
    Troy Buswell is an Australian politician who served in senior roles in Western Australia's state government, including as Treasurer.
  • D. Trent Stevens
    Trent Stevens is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Stevens.
  • E. Troy Dannen
    Troy Dannen is a collegiate sports executive who serves as the athletic director for the University of Washington Huskies, overseeing the school's athletic programs and operations.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222d5769c8190bbb604bfa095a1a5 completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c790ec64819084277c156f38a7de completed May 10, 2026, 5:59 p.m.
Created at: April 10, 2026, 5:02 a.m.