Triple

T17241757
Position Surface form Disambiguated ID Type / Status
Subject Harriet Hageman E418515 entity
Predicate familyName P18 FINISHED
Object Hageman E449445 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: Hageman | Statement: [Harriet Hageman, familyName, Hageman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hageman
Context triple: [Harriet Hageman, familyName, Hageman]
  • A. Heflin
    Heflin is a small city in eastern Alabama that serves as the administrative and commercial hub of Cleburne County.
  • B. Hesseman
    Hesseman is a surname most notably associated with American actor and comedian Howard Hesseman, known for his role on the television series "WKRP in Cincinnati."
  • C. Sherman Halsey
    Sherman Halsey was an American music video director and producer best known for his influential work in country music, crafting iconic videos for artists like Dwight Yoakam, Tim McGraw, and Faith Hill.
  • D. Hartman
    Hartman is a surname of Germanic origin borne by various notable individuals across fields such as entertainment, academia, and politics.
  • E. Richard Hageman chosen
    Richard Hageman was a Dutch-born American composer and conductor best known for his film scores, including his Academy Award-winning work on classic Hollywood Westerns.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e203ec88190a21f38cbb18a14fa completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170f388608190b709b1c228a7ba29 completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.