Triple

T13375078
Position Surface form Disambiguated ID Type / Status
Subject STS-30 E319162 entity
Predicate pilot P2087 FINISHED
Object Ronald J. Grabe E244583 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: Ronald J. Grabe | Statement: [STS-30, pilot, Ronald J. Grabe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ronald J. Grabe
Context triple: [STS-30, pilot, Ronald J. Grabe]
  • A. Ronald J. Grabe chosen
    Ronald J. Grabe is a former NASA astronaut and U.S. Air Force colonel who piloted and commanded multiple Space Shuttle missions.
  • B. Richard H. Stahlman
    Richard H. Stahlman was an academic mentor and doctoral advisor known for supervising Herbert Boyer, a pioneering figure in genetic engineering and biotechnology.
  • C. Ron L. Brinkerhoff
    Ron L. Brinkerhoff is an American screenwriter best known for writing the action-drama film "The Guardian" (2006).
  • D. Michael L. Gernhardt
    Michael L. Gernhardt is a NASA astronaut, engineer, and former commercial deep-sea diver who has flown on multiple Space Shuttle missions and contributed extensively to spacewalk and life-support system development.
  • E. Peter T. Grauer
    Peter T. Grauer is an American business executive best known as the longtime chairman of Bloomberg L.P.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcda64a48190b53243a763cd175b completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c28d1e1c81909e869f01659ec233 completed May 10, 2026, 5:38 p.m.
Created at: April 9, 2026, 9:33 p.m.