Triple

T11235935
Position Surface form Disambiguated ID Type / Status
Subject The Eagle E265940 entity
Predicate mainCastMember P5563 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: [The Eagle, mainCastMember, Donald Sutherland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald Sutherland
Context triple: [The Eagle, mainCastMember, 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. Peter Cummings
    Peter Cummings was an architect known for designing notable British entertainment venues, including the Manchester Apollo theatre.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e904cf888190826fc964f76b5cb2 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad6308f8819085652d6c529ac821 completed April 19, 2026, 10:24 a.m.
Created at: April 8, 2026, 9:30 p.m.