Triple

T17664766
Position Surface form Disambiguated ID Type / Status
Subject Margaret Hitchcock Doorly E440347 entity
Predicate hasRelative P367 FINISHED
Object Henry Doorly NE NERFINISHED

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: Henry Doorly | Statement: [Margaret Hitchcock Doorly, hasRelative, Henry Doorly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Doorly
Context triple: [Margaret Hitchcock Doorly, hasRelative, Henry Doorly]
  • A. Henry Doorly chosen
    Henry Doorly was a prominent Omaha newspaper publisher and civic leader whose contributions to the city led to the zoo being named in his honor.
  • B. Ned Homfeld
    Ned Homfeld is an American entrepreneur best known for founding Spirit Airlines, a major U.S. ultra-low-cost carrier.
  • C. Donald Bailey
    Donald Bailey was a British civil engineer best known for designing the portable, pre-fabricated Bailey bridge widely used during World War II.
  • D. Wayne Messmer
    Wayne Messmer is an American singer and longtime Chicago sports announcer best known for his powerful renditions of "The Star-Spangled Banner" at Chicago Blackhawks games.
  • E. Bill Wittliff
    Bill Wittliff was an American screenwriter, author, and photographer best known for adapting and writing acclaimed Western-themed films and television miniseries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea8accc8190beea0900b0614020 completed April 19, 2026, 5:56 a.m.
Created at: April 10, 2026, 9:55 a.m.