Triple

T6175996
Position Surface form Disambiguated ID Type / Status
Subject Oliver E. Williamson E137820 entity
Predicate middleName P143 FINISHED
Object Eaton E311755 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: Eaton | Statement: [Oliver E. Williamson, middleName, Eaton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eaton
Context triple: [Oliver E. Williamson, middleName, Eaton]
  • A. Eaton chosen
    Eaton is a surname most notably associated with American decathlete and Olympic gold medalist Ashton Eaton.
  • B. Eaton’s
    Eaton’s was a major Canadian department store chain that became a retail icon and helped shape downtown shopping districts across the country.
  • C. Delco
    Delco was an American automotive electronics and parts manufacturer best known for pioneering electric starting, lighting, and ignition systems for automobiles.
  • D. Delco
    Delco is the commonly used nickname for Delaware County, a suburban county located just west of Philadelphia in southeastern Pennsylvania.
  • E. Eaton Ford
    Eaton Ford is a residential area and former village in Cambridgeshire, England, situated on the western side of the River Great Ouse opposite the town of St Neots.
  • 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_69c008a80f748190ba3d07ffc81acb29 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05dc70ac481909fd1db0d69837eca completed March 22, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141b69c348190a4e530b7380b643f completed March 23, 2026, 1:35 p.m.
Created at: March 22, 2026, 4:18 p.m.