Triple

T3331321
Position Surface form Disambiguated ID Type / Status
Subject Stanley Baldwin E70038 entity
Predicate hasFamilyName P18 FINISHED
Object Baldwin E70038 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: Baldwin | Statement: [Stanley Baldwin, hasFamilyName, Baldwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baldwin
Context triple: [Stanley Baldwin, hasFamilyName, Baldwin]
  • A. Baldwin chosen
    Baldwin is a common English surname of Anglo-Saxon origin that has been borne by numerous notable figures in literature, politics, and entertainment.
  • B. Baldwin
    Baldwin is a small rural community located within the town of Georgina in Ontario, Canada.
  • C. Butler
    Butler is a city in Pennsylvania that serves as the administrative and economic center of Butler County.
  • D. 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.
  • E. Butler
    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.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb191e1988190a1d88596f6605aff completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b33423dc288190b71eaa1c0feb26eb completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:12 p.m.