Triple

T13723682
Position Surface form Disambiguated ID Type / Status
Subject The Chi E329099 entity
Predicate hasMainCharacter P1183 FINISHED
Object Jake Taylor E683333 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: Jake Taylor | Statement: [The Chi, hasMainCharacter, Jake Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jake Taylor
Context triple: [The Chi, hasMainCharacter, Jake Taylor]
  • A. Jake Taylor chosen
    Jake Taylor is the veteran catcher and team leader of the Cleveland Indians in the baseball comedy film "Major League."
  • B. Rad Taylor
    Rad Taylor is a fictional character from Woody Allen's 2016 romantic comedy film "Café Society."
  • C. Troy Taylor
    Troy Taylor is an American R&B record producer and songwriter known for his work with artists such as Trey Songz and Whitney Houston.
  • D. Art Donovan
    Art Donovan was a Hall of Fame defensive tackle for the Baltimore Colts, renowned for his dominant play in the 1950s and his colorful, larger-than-life personality.
  • E. Kit Tyler
    Kit Tyler is the spirited young heroine of Elizabeth George Speare’s historical novel "The Witch of Blackbird Pond," known for her struggle to adapt from her carefree Caribbean upbringing to the strict Puritan society of colonial New England.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f52e748190b49c34e10ab8ac34 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d5e1ecc8190a9fec550a99702c0 completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:55 p.m.