Triple

T10502217
Position Surface form Disambiguated ID Type / Status
Subject STS-124 E247698 entity
Predicate missionSpecialist P21471 FINISHED
Object Michael E. Fossum E811015 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 E. Fossum | Statement: [STS-124, missionSpecialist, Michael E. Fossum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael E. Fossum
Context triple: [STS-124, missionSpecialist, Michael E. Fossum]
  • A. Michael E. Fossum chosen
    Michael E. Fossum is a NASA astronaut and former U.S. Air Force officer who flew on multiple Space Shuttle missions and later served as commander of the International Space Station.
  • B. Alan C. Blomquist
    Alan C. Blomquist is a film producer best known for his work on acclaimed movies such as "Chocolat."
  • C. Daniel L. Fapp
    Daniel L. Fapp was an American cinematographer known for his work on numerous Hollywood films, including the Oscar-winning West Side Story.
  • D. James S. Voss
    James S. Voss is a retired U.S. Army officer and NASA astronaut who flew on multiple Space Shuttle missions and spent over five months aboard the International Space Station.
  • E. Jay R. Ferguson
    Jay R. Ferguson is an American actor best known for his television roles in series such as "Evening Shade," "Mad Men," and "The Conners."
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5099c6a848190bf1d5361e9e61108 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525100e108190b4f6949695c7156e completed April 19, 2026, 6:55 p.m.
Created at: April 6, 2026, 12:25 p.m.