Triple

T21617495
Position Surface form Disambiguated ID Type / Status
Subject Joseph G. Butler Jr. E533482 entity
Predicate familyName P18 FINISHED
Object Butler 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: Butler | Statement: [Joseph G. Butler Jr., familyName, Butler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Butler
Context triple: [Joseph G. Butler Jr., familyName, Butler]
  • A. Butler
    Butler is a city in Pennsylvania that serves as the administrative and economic center of Butler County.
  • B. Butler
    Butler is the party that served as the defendant in the landmark U.S. Supreme Court case United States v. Butler, which addressed the constitutionality of certain New Deal agricultural policies.
  • C. Butler chosen
    Butler is a common English and Irish surname historically associated with nobility and service roles, borne by numerous notable figures in politics, law, and the arts.
  • D. Butler
    Butler is a small city in Taylor County, Georgia, serving as the county seat and a local hub for the surrounding rural area.
  • E. Butler
    Butler is a light rail station on the MBTA's Mattapan trolley line in Boston, Massachusetts, serving the local residential neighborhood.
  • 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_69e0c46411108190bba0d4176dffc9f3 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef3bac4a5c8190919c625c14a54c16 completed April 27, 2026, 10:34 a.m.
Created at: April 16, 2026, 6:34 p.m.