Triple

T4193091
Position Surface form Disambiguated ID Type / Status
Subject A.G. Gaston Motel E89079 entity
Predicate owner P347 FINISHED
Object A. G. Gaston E420061 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: A. G. Gaston | Statement: [A.G. Gaston Motel, owner, A. G. Gaston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A. G. Gaston
Context triple: [A.G. Gaston Motel, owner, A. G. Gaston]
  • A. A. G. Gaston chosen
    A. G. Gaston was a prominent African American businessman and civil rights supporter from Birmingham, Alabama, known for building a business empire and quietly financing key civil rights initiatives.
  • B. Don Hahn
    Don Hahn is an American film producer best known for overseeing several of Disney’s most acclaimed animated features, including Beauty and the Beast and The Lion King.
  • C. Basil Embry
    Basil Embry was a distinguished Royal Air Force officer and World War II air commander who later became Chief of the Air Staff of the RAF.
  • D. Robert Vaught
    Robert Vaught was an American logician and mathematician known for his influential work in model theory and mathematical logic.
  • E. Randolph Fields
    Randolph Fields was a British-American lawyer and entrepreneur best known for co-founding the airline that became Virgin Atlantic Airways.
  • 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0342c6048190835631649a14d304 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5961f0de081908e2b6bee1725b97e completed March 14, 2026, 5:08 p.m.
Created at: March 9, 2026, 3:46 p.m.