Triple

T10209636
Position Surface form Disambiguated ID Type / Status
Subject Threshold E242293 entity
Predicate portrayedBy P1507 FINISHED
Object Brian Van Holt E340103 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: Brian Van Holt | Statement: [Threshold, portrayedBy, Brian Van Holt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Van Holt
Context triple: [Threshold, portrayedBy, Brian Van Holt]
  • A. Brian Van Holt chosen
    Brian Van Holt is an American actor known for his roles in films like "Black Hawk Down" and "Den of Thieves" as well as the TV series "Cougar Town."
  • B. Lee Zahler
    Lee Zahler was an American film composer and musical director known for scoring numerous serials and B-movies during the 1930s and 1940s.
  • C. John Seitz
    John Seitz was an American cinematographer renowned for his influential work in classic Hollywood cinema, particularly in film noir and science fiction.
  • D. Tom Hiel
    Tom Hiel is an American film and television composer known for scoring a variety of genre projects, including cult and horror films.
  • E. Ron Jensen
    Ron Jensen is an American politician who has served as the mayor of Grand Prairie, Texas.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d395fbed008190b66996f5bb397853 completed April 6, 2026, 11:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f6f4d0cc8190ae41277b15b3012d completed April 9, 2026, 12:46 a.m.
Created at: April 6, 2026, 11 a.m.