Triple

T9867126
Position Surface form Disambiguated ID Type / Status
Subject STS-27 E239860 entity
Predicate pilot P2087 FINISHED
Object Guy S. Gardner E827024 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: Guy S. Gardner | Statement: [STS-27, pilot, Guy S. Gardner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guy S. Gardner
Context triple: [STS-27, pilot, Guy S. Gardner]
  • A. Guy S. Gardner chosen
    Guy S. Gardner is a former NASA astronaut and U.S. Air Force colonel who flew as a pilot on two Space Shuttle missions in the late 1980s and early 1990s.
  • B. William M. Gaines
    William M. Gaines was an American publisher best known for transforming Mad from a comic book into a hugely influential satirical magazine that shaped modern humor and pop culture.
  • C. Clifford T. Ward
    Clifford T. Ward was an English singer-songwriter known for his melodic, introspective pop songs in the 1970s.
  • D. Fred Gardner
    Fred Gardner is a writer best known for co-writing the screenplay of Michelangelo Antonioni’s 1970 counterculture film "Zabriskie Point."
  • E. Charles Greene
    Charles Greene is the son of Canadian actor and broadcaster Lorne Greene, best known for his role in the television series "Bonanza."
  • 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3d209ac8190b9bc9ff017a132da completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eadd95ac81909a265db37b648df0 completed April 5, 2026, 4:53 a.m.
Created at: March 30, 2026, 8:36 p.m.