Triple

T12205477
Position Surface form Disambiguated ID Type / Status
Subject Combined Policy Committee E290824 entity
Predicate notableMember P10 FINISHED
Object Vannevar Bush E0 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: Vannevar Bush | Statement: [Combined Policy Committee, notableMember, Vannevar Bush]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vannevar Bush
Context triple: [Combined Policy Committee, notableMember, Vannevar Bush]
  • A. Vannevar Bush chosen
    American electrical engineer and science administrator (1890~1974)
  • B. Jay Forrester
    Jay Forrester was an American engineer and systems scientist best known as a pioneer of digital computer memory and the founder of the field of system dynamics at MIT.
  • C. Warren Weaver
    Warren Weaver was an American scientist, mathematician, and science administrator known for his influential work in communication theory and for helping popularize Claude Shannon’s information theory.
  • D. George A. Aiken
    George A. Aiken was a 19th-century American dramatist best known for his hugely popular stage adaptation of Harriet Beecher Stowe’s novel "Uncle Tom’s Cabin."
  • E. Allan W. Eckert
    Allan W. Eckert was an American author and naturalist best known for his meticulously researched historical novels and nature writing, including the "Winning of America" series.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c7c9084819085e7d2f9038f409f completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a8c69308190bffae7b38cc5620b completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:51 p.m.