Triple

T10707154
Position Surface form Disambiguated ID Type / Status
Subject STS-51-L E252436 entity
Predicate crewMember P2094 FINISHED
Object Michael J. Smith E41268 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: Michael J. Smith | Statement: [STS-51-L, crewMember, Michael J. Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael J. Smith
Context triple: [STS-51-L, crewMember, Michael J. Smith]
  • A. Michael J. Smith chosen
    Michael J. Smith was a U.S. Navy captain and NASA astronaut who served as the pilot on the ill-fated Space Shuttle Challenger mission STS-51-L.
  • B. Michael G. Smith
    Michael G. Smith is an American Episcopal bishop who has served as the ecclesiastical leader of the Episcopal Diocese of North Dakota.
  • C. Michael G. Smith
    Michael G. Smith is an American Episcopal bishop who has served as the diocesan leader of the Episcopal Diocese of Albany.
  • D. Michael Hinn
    Michael Hinn was an American actor known for supporting roles in mid-20th-century films, including the 1957 crime drama "The Big Boodle."
  • E. Christopher Smith
    Christopher Smith is an individual associated with online communities or organizations connected to the Internet.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fde080d48190830eaa863aad61ff completed April 9, 2026, 1:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbad1ac3948190a97ab52fa9d962ad completed April 12, 2026, 2:32 p.m.
Created at: April 8, 2026, 9:12 p.m.