Triple

T6350540
Position Surface form Disambiguated ID Type / Status
Subject Sutherland E142857 entity
Predicate notableBearer P458 FINISHED
Object Donald Sutherland E86440 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: Donald Sutherland | Statement: [Sutherland, notableBearer, Donald Sutherland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald Sutherland
Context triple: [Sutherland, notableBearer, Donald Sutherland]
  • A. Donald Sutherland chosen
    Donald Sutherland is a renowned Canadian actor known for his versatile performances in films such as M*A*S*H, Klute, Ordinary People, and The Hunger Games series.
  • B. Nels Van Patten
    Nels Van Patten is an American actor and former professional tennis player, known both for his work in film and television and as the son of actor Dick Van Patten.
  • C. Sam Waterston
    Sam Waterston is an American actor known for his distinguished film, television, and stage career, including prominent roles in productions such as Law & Order and The Killing Fields.
  • D. 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.
  • E. Richard Crenna
    Richard Crenna was an American actor and director known for his roles in films such as the "Rambo" series and numerous television shows including "The Real McCoys."
  • 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_69c008d6dcbc8190aa1c2f1fd8916b42 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067dc2790819084aaf7067dc25733 completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d52cbd881908ac36eca108f3194 completed March 27, 2026, 7:10 a.m.
Created at: March 22, 2026, 4:31 p.m.