Triple

T17803466
Position Surface form Disambiguated ID Type / Status
Subject William Maxwell Evarts Perkins E444492 entity
Predicate editedAuthor P107303 FINISHED
Object Taylor Caldwell 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: Taylor Caldwell | Statement: [William Maxwell Evarts Perkins, editedAuthor, Taylor Caldwell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taylor Caldwell
Context triple: [William Maxwell Evarts Perkins, editedAuthor, Taylor Caldwell]
  • A. Taylor Caldwell chosen
    Taylor Caldwell was a prolific 20th-century American novelist best known for her historical and religious-themed bestsellers such as "Dear and Glorious Physician" and "Captains and the Kings."
  • B. Kate Burroughs
    Kate Burroughs is the central protagonist of the film "The Four Seasons," around whom the story’s relationships and events revolve.
  • C. Jeri Caldwell
    Jeri Caldwell is best known as the first wife of legendary American music producer and composer Quincy Jones.
  • D. Laura Bickford
    Laura Bickford is an American film producer best known for her work on acclaimed independent and studio films, including the Oscar-winning drama "Traffic."
  • E. Laura Rister
    Laura Rister is a film producer and executive known for her work on independent and prestige projects, including the financial thriller "Margin Call."
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4880171608190be2088c7a387bfb7 completed April 19, 2026, 7:45 a.m.
Created at: April 10, 2026, 10:13 a.m.