Triple

T7205104
Position Surface form Disambiguated ID Type / Status
Subject Presidential Medal of Merit E148645 entity
Predicate hasRecipient P108 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: [Presidential Medal of Merit, hasRecipient, Vannevar Bush]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vannevar Bush
Context triple: [Presidential Medal of Merit, hasRecipient, 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_69c687e8cf188190b5f3ecffd681f04e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e94d68ec8190ae3e1280bad12665 completed March 27, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bfbb7564819091ce3669380409a1 completed March 28, 2026, 11:47 a.m.
Created at: March 27, 2026, 2:52 p.m.