Triple

T2651683
Position Surface form Disambiguated ID Type / Status
Subject Phillip Stryver E53912 entity
Predicate portrayedBy P1507 FINISHED
Object Burn Gorman E9669 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: Burn Gorman | Statement: [Phillip Stryver, portrayedBy, Burn Gorman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burn Gorman
Context triple: [Phillip Stryver, portrayedBy, Burn Gorman]
  • A. Burn Gorman chosen
    Burn Gorman is a British-American actor known for his character roles in film and television, including appearances in projects like "Torchwood," "Game of Thrones," and "Pacific Rim."
  • B. Danny Huston
    Danny Huston is an American actor and director known for his character roles in films such as "The Constant Gardener," "X-Men Origins: Wolverine," and "Wonder Woman."
  • C. J.K. Simmons
    J.K. Simmons is an American character actor known for his versatile performances in film and television, including roles in "Whiplash," the "Spider-Man" trilogy, and numerous acclaimed supporting parts.
  • D. Brett Cullen
    Brett Cullen is an American actor known for his numerous film and television roles, including playing Thomas Wayne in the 2019 film "Joker."
  • E. Michael York
    Michael York is an English actor known for his roles in films such as "Cabaret," "Logan's Run," and the "Austin Powers" series.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd93071248190820197936e3167f7 completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc6382a2081909ea7216c19a65e7e completed March 10, 2026, 7:20 a.m.
Created at: March 6, 2026, 9:53 p.m.