Triple

T12893442
Position Surface form Disambiguated ID Type / Status
Subject Chesley Sullenberger E308427 entity
Predicate givenName P17 FINISHED
Object Chesley E707380 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: Chesley | Statement: [Chesley Sullenberger, givenName, Chesley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chesley
Context triple: [Chesley Sullenberger, givenName, Chesley]
  • A. Chesley chosen
    Chesley is a small rural community in Bruce County, Ontario, Canada, known for its agricultural surroundings and local manufacturing history.
  • B. Borman
    Borman is a surname most notably associated with Frank Borman, the American astronaut who commanded the historic Apollo 8 mission orbiting the Moon.
  • C. Payette
    Payette is a French-Canadian surname most notably associated with Julie Payette, an engineer, astronaut, and former Governor General of Canada.
  • D. Gwynne
    Gwynne is a surname of Welsh origin borne by various notable individuals, including actors, writers, and public figures.
  • E. Goddard
    Goddard is a surname most famously associated with Robert H. Goddard, the American physicist and engineer regarded as the father of modern rocketry.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971484aa08190a8adfafabe600903 completed April 10, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a55daf788190be72af98b288bd70 completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:40 p.m.