Triple

T14711994
Position Surface form Disambiguated ID Type / Status
Subject John from Cincinnati E345567 entity
Predicate hasCastMember P2308 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: [John from Cincinnati, hasCastMember, Brian Van Holt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Van Holt
Context triple: [John from Cincinnati, hasCastMember, 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb982bf248190881e21a8a0861a3f completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dba87c481908084c3cba5df3fcd completed May 9, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:28 a.m.