Triple

T8019954
Position Surface form Disambiguated ID Type / Status
Subject Ordinary People E186714 entity
Predicate starring P1507 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: [Ordinary People, starring, Donald Sutherland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald Sutherland
Context triple: [Ordinary People, starring, 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_69ca82ac7fc081909b1398cf025423af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3e8bc90081909f6f5878e6f1f241 completed March 31, 2026, 3:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56c82824819082e93eddc40bfad1 completed March 31, 2026, 11:20 p.m.
Created at: March 30, 2026, 5:20 p.m.