Triple

T12859476
Position Surface form Disambiguated ID Type / Status
Subject The Last Samurai E307546 entity
Predicate castMember P1668 FINISHED
Object Tony Goldwyn E229279 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: Tony Goldwyn | Statement: [The Last Samurai, castMember, Tony Goldwyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Goldwyn
Context triple: [The Last Samurai, castMember, Tony Goldwyn]
  • A. Tony Goldwyn chosen
    Tony Goldwyn is an American actor, director, and producer best known for his roles in films like "Ghost" and the TV series "Scandal."
  • B. Jonathan Goldsmith
    Jonathan Goldsmith is a Canadian composer best known for his film and television scores.
  • C. Samuel Goldwyn Jr.
    Samuel Goldwyn Jr. was an American film producer and son of legendary mogul Samuel Goldwyn, known for championing independent and quality cinema through films like "The Preacher's Wife" and for founding The Samuel Goldwyn Company.
  • D. Gary Goldman
    Gary Goldman is an American screenwriter best known for his work on major science fiction and action films, including the 1990 movie "Total Recall."
  • E. Gary Goldman
    Gary Goldman is an American animator, director, and producer best known for his work on Don Bluth–style animated films such as Anastasia.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970242bd48190941cbae0315ebc3d completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bac0c1081909217d865aa8bf9a3 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:37 p.m.