Triple

T18823983
Position Surface form Disambiguated ID Type / Status
Subject Line of Fire E460335 entity
Predicate castMember P1668 FINISHED
Object Anson Mount NE NERFINISHED

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: Anson Mount | Statement: [Line of Fire, castMember, Anson Mount]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anson Mount
Context triple: [Line of Fire, castMember, Anson Mount]
  • A. Anson Mount chosen
    Anson Mount is an American actor best known for his leading roles in television dramas such as Hell on Wheels and Star Trek: Discovery/Strange New Worlds.
  • B. Orson Cox
    Orson Cox is the son of Scottish actor and physicist-turned-science-communicator Brian Cox.
  • C. Nathan Ulrich
    Nathan Ulrich is an American aircraft engineer and pilot, co-founder of the ultralight aircraft company Earthstar Aircraft and former husband of actress Rae Dawn Chong.
  • D. Alex Hibbert
    Alex Hibbert is an American actor best known for his acclaimed performance as young Chiron in the Oscar-winning film "Moonlight."
  • E. Damon Herriman
    Damon Herriman is an Australian actor known for his versatile character roles in film and television, including notable performances in series like "Justified" and "Mindhunter" and in Quentin Tarantino's "Once Upon a Time in Hollywood."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6bce5588190bd0aefcd0c51edad completed April 20, 2026, 4:08 a.m.
Created at: April 10, 2026, 11:56 a.m.