Triple

T2238905
Position Surface form Disambiguated ID Type / Status
Subject Goldie (Sin City) E49347 entity
Predicate portrayedBy P1507 FINISHED
Object Jaime King E237848 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: Jaime King | Statement: [Goldie (Sin City), portrayedBy, Jaime King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaime King
Context triple: [Goldie (Sin City), portrayedBy, Jaime King]
  • A. Jaime King chosen
    Jaime King is an American actress and former fashion model known for her roles in films like "Sin City" and the television series "Hart of Dixie."
  • B. Ciarán Hinds
    Ciarán Hinds is an Irish actor known for his versatile performances in film, television, and theatre, with notable roles in works such as "Rome," "There Will Be Blood," and "Game of Thrones."
  • C. Anson Mount
    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.
  • D. Rufus Sewell
    Rufus Sewell is a British actor known for his intense screen presence and roles in films like "Dark City," "A Knight’s Tale," and numerous period dramas and television series.
  • E. Richard Gant
    Richard Gant is an American character actor known for his roles in film and television, often portraying authoritative or tough-minded figures.
  • 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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0bb3fac81908b1e8518951dd160 completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3b515c081909d6ad7f0506ea5a8 completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:47 p.m.