Triple

T8244552
Position Surface form Disambiguated ID Type / Status
Subject Trucks (1997 film) E192817 entity
Predicate starred P5563 FINISHED
Object Timothy Busfield E460571 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: Timothy Busfield | Statement: [Trucks (1997 film), starred, Timothy Busfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timothy Busfield
Context triple: [Trucks (1997 film), starred, Timothy Busfield]
  • A. Timothy Busfield chosen
    Timothy Busfield is an American actor and director best known for his roles in television series such as "thirtysomething," "The West Wing," and various film and stage productions.
  • B. George Sowards
    George Sowards is an actor known for his role in the film "Shotgun."
  • C. Jeffery Wood
    Jeffery Wood is an American actor best known for his role on the television sitcom "In the House."
  • D. Leo Willis
    Leo Willis was an American character actor active during the silent and early sound film eras, often appearing in comedies alongside stars like Harold Lloyd.
  • E. Gregory Reeves
    Gregory Reeves is the introspective, spiritually searching protagonist of Isabel Allende’s novel "The Infinite Plan," whose life story explores identity, trauma, and the pursuit of meaning in mid-20th-century America.
  • 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78711f5081909c2f357334491a07 completed March 31, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce024f17a8819083f96ce8494fbb58 completed April 2, 2026, 5:44 a.m.
Created at: March 30, 2026, 5:47 p.m.