Triple

T20542691
Position Surface form Disambiguated ID Type / Status
Subject TFNG E504386 entity
Predicate member P10 FINISHED
Object Norman Thagard NE NERFINISHED

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: Norman Thagard | Statement: [TFNG, member, Norman Thagard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norman Thagard
Context triple: [TFNG, member, Norman Thagard]
  • A. Paul Thagard
    Paul Thagard is a Canadian philosopher and cognitive scientist known for his influential work on explanation, coherence, and the philosophy of mind and science.
  • B. Norman E. Thagard chosen
    Norman E. Thagard is an American physician, former U.S. Marine Corps officer, and NASA astronaut who became the first American to fly on a Russian spacecraft.
  • C. Zenon Pylyshyn
    Zenon Pylyshyn was a cognitive scientist and philosopher known for his influential work on mental imagery, visual cognition, and the computational theory of mind.
  • D. Ned Block
    Ned Block is an American philosopher of mind and cognitive scientist known for his influential work on consciousness, mental representation, and the philosophy of psychology.
  • E. Daniel Brainard
    Daniel Brainard was a 19th-century American physician and medical educator best known as the founder and first president of Rush Medical College in Chicago.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a293feac8190b27848b64f2db1fe completed April 20, 2026, 10:03 p.m.
Created at: April 16, 2026, 11:38 a.m.