Triple

T14579921
Position Surface form Disambiguated ID Type / Status
Subject Dana Ivey E342162 entity
Predicate notableWork P4 FINISHED
Object Butley E717139 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: Butley | Statement: [Dana Ivey, notableWork, Butley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Butley
Context triple: [Dana Ivey, notableWork, Butley]
  • A. Butley chosen
    Butley is a 1971 stage play by Simon Gray, best known through Alan Bates’s acclaimed portrayal of its bitter, self-destructive university lecturer protagonist.
  • B. Blatch
    Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
  • C. Turley
    Turley is an unincorporated community and census-designated place in northeastern Oklahoma, situated just north of Tulsa.
  • D. Beyton
    Beyton is a small rural village and civil parish in the English county of Suffolk, known for its traditional village green and historic buildings.
  • E. Bartley
    Bartley is a surname most notably associated with American philosopher and scholar William W. Bartley.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f6f78c81908a30ecb4c025299d completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ad03e7881908a783182c6d656b5 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:24 a.m.