Triple

T6233338
Position Surface form Disambiguated ID Type / Status
Subject David Hackett Souter E139409 entity
Predicate middleName P143 FINISHED
Object Hackett E139409 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: Hackett | Statement: [David Hackett Souter, middleName, Hackett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hackett
Context triple: [David Hackett Souter, middleName, Hackett]
  • A. Hackett chosen
    Hackett is the middle name of David H. Souter, a former Associate Justice of the United States Supreme Court.
  • B. Hackett
    Hackett is a surname of English and Irish origin borne by various notable individuals across fields such as literature, sports, and entertainment.
  • C. Hannon
    Hannon is an Irish surname historically associated with families of Irish origin, including that of Mary Josephine Hannon Fitzgerald, mother of Rose Kennedy.
  • D. Welch
    Welch is a small city in southern West Virginia known historically as a coal-mining community and the county seat of McDowell County.
  • E. Harrington
    Harrington is a small coastal town in New South Wales, Australia, known for its beaches, fishing, and proximity to the Manning River and Crowdy Bay National Park.
  • 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_69c008b0e7ac8190808a59573ee646f3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062efa25c8190a54f5a6f5b5ad24f completed March 22, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c243f785dc819084d2a11151d84227 completed March 24, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:22 p.m.