Triple

T16845963
Position Surface form Disambiguated ID Type / Status
Subject Cyberwoman E409538 entity
Predicate starsActor P5563 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: [Cyberwoman, starsActor, Burn Gorman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burn Gorman
Context triple: [Cyberwoman, starsActor, 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. Jeremy Grey
    Jeremy Grey is a charismatic, fast-talking divorce mediator and womanizer portrayed by Vince Vaughn in the comedy film "Wedding Crashers."
  • C. 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."
  • D. James Keach
    James Keach is an American actor, director, and producer known for his work in films such as "Walk the Line" and for his long career in both film and television.
  • E. Dorian Harewood
    Dorian Harewood is an American actor known for his work in film, television, and voice acting, including roles in projects such as Full Metal Jacket and the animated series Batman.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b3541a008190b2a97cfea92b170f completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfc531c881908a33de8b491842ca completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 5:24 a.m.