Triple

T5853842
Position Surface form Disambiguated ID Type / Status
Subject STS-51-G E130101 entity
Predicate missionSpecialist P21471 FINISHED
Object Steven R. Nagel E550254 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: Steven R. Nagel | Statement: [STS-51-G, missionSpecialist, Steven R. Nagel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steven R. Nagel
Context triple: [STS-51-G, missionSpecialist, Steven R. Nagel]
  • A. Steven R. Nagel chosen
    Steven R. Nagel was a NASA astronaut and U.S. Air Force pilot who flew on four Space Shuttle missions and later served in leadership roles within the astronaut corps.
  • B. Nigel Goldenfeld
    Nigel Goldenfeld is a theoretical physicist known for his influential work in statistical physics, complex systems, and fluid dynamics.
  • C. Michael T. Sauer
    Michael T. Sauer was an American judge best known for presiding over high-profile criminal cases in Los Angeles County.
  • D. Bruce H. Mann
    Bruce H. Mann is an American legal historian and Harvard Law School professor known for his scholarship on early American legal and economic history and for being married to U.S. Senator Elizabeth Warren.
  • E. Michael P. Brenner
    Michael P. Brenner is an American applied mathematician and physicist known for his influential work in fluid dynamics and complex systems.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035529cf88190acc547ae839950e7 completed March 22, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b105fb588190ac58a94513df6682 completed March 23, 2026, 3:18 a.m.
Created at: March 22, 2026, 3:55 p.m.