Triple

T12289150
Position Surface form Disambiguated ID Type / Status
Subject Wagon Master (1950 film) E292907 entity
Predicate castMember P1668 FINISHED
Object Russell Simpson E294140 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: Russell Simpson | Statement: [Wagon Master (1950 film), castMember, Russell Simpson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russell Simpson
Context triple: [Wagon Master (1950 film), castMember, Russell Simpson]
  • A. Russell Simpson chosen
    Russell Simpson was an American character actor best known for his frequent roles in Westerns and classic Hollywood films, including several collaborations with director John Ford.
  • B. Russell Smith
    Russell Smith is a film producer best known for his work on the acclaimed coming-of-age drama "Young Adult."
  • C. Scott Simpson
    Scott Simpson is an American professional golfer best known for winning the 1987 U.S. Open and having a standout amateur career before turning pro.
  • D. Graham Russell
    Graham Russell is an English musician and songwriter best known as the co-founder and guitarist of the soft rock duo Air Supply.
  • E. Craig Simpson
    Craig Simpson is a former NHL left winger who became a prominent Canadian ice hockey broadcaster and analyst.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d21692481908c97edc3d602f1d5 completed April 10, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6685205608190b504ab6e7c73ee51 completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:52 p.m.