Triple

T22101289
Position Surface form Disambiguated ID Type / Status
Subject The Maggie E546176 entity
Predicate castMember P1668 FINISHED
Object James Copeland NE NERFINISHED

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: James Copeland | Statement: [The Maggie, castMember, James Copeland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Copeland
Context triple: [The Maggie, castMember, James Copeland]
  • A. James Copeland chosen
    James Copeland was a Scottish character actor known for his numerous film and television roles in the mid-20th century, including appearances in British genre series.
  • B. Gregory Kevin Kimble
    Gregory Kevin Kimble is an American former college and NBA basketball player best known for starring at Loyola Marymount University alongside Hank Gathers and leading the nation in scoring in 1990.
  • C. Carlos McKinney
    Carlos McKinney is an American songwriter and producer known for his work in contemporary R&B and collaborations with major artists.
  • D. Michael Bates
    Michael Bates was a British character actor known for his roles in films and television, including a notable appearance in the war epic "Patton" (1970).
  • E. Steve Padgett
    Steve Padgett is an Australian aviation entrepreneur best known as the founder of regional carrier Alliance Airlines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1291501508190ad5689be5abb2ba6 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.