Triple

T1771989
Position Surface form Disambiguated ID Type / Status
Subject Benjamin F. Butler E38895 entity
Predicate familyName P18 FINISHED
Object Butler E176168 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: Butler | Statement: [Benjamin F. Butler, familyName, Butler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Butler
Context triple: [Benjamin F. Butler, 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 Blue
    Butler Blue is the live English bulldog that serves as the beloved mascot of Butler University and its athletic teams.
  • E. Baldwin
    Baldwin is a common English surname of Anglo-Saxon origin that has been borne by numerous notable figures in literature, politics, and entertainment.
  • 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_69a8862e61708190af97b9838cc3f5de completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64913ca481909bdc09f6f57b38dc completed March 6, 2026, 5:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada995dab48190b7efcf1007fc9d5f completed March 8, 2026, 4:53 p.m.
Created at: March 4, 2026, 7:31 p.m.