Triple

T21017108
Position Surface form Disambiguated ID Type / Status
Subject Maverick E517707 entity
Predicate castMember P1668 FINISHED
Object Dub Taylor 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: Dub Taylor | Statement: [Maverick, castMember, Dub Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dub Taylor
Context triple: [Maverick, castMember, Dub Taylor]
  • A. Dub Taylor chosen
    Dub Taylor was an American character actor best known for his prolific work in Westerns and supporting roles in film and television from the 1930s through the 1990s.
  • B. Marley Taylor
    Marley Taylor is an actress known for appearing in the holiday comedy film "Almost Christmas."
  • C. Mel Taylor
    Mel Taylor was an American drummer best known for his powerful, driving percussion as a longtime member of the instrumental rock band The Ventures.
  • D. Lindsay Taylor
    Lindsay Taylor is an American soccer forward best known for her standout collegiate career with Stanford and subsequent professional play in the National Women's Soccer League.
  • E. Jen Taylor
    Jen Taylor is an American voice actress best known for portraying Princess Peach in the Super Mario series and Cortana in the Halo franchise.
  • 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_69e0b50262b081909bc488937145eb73 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc5968c081909ae6407199858aba completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 1:54 p.m.