Triple

T6748452
Position Surface form Disambiguated ID Type / Status
Subject Symington E154280 entity
Predicate usedBy P260 FINISHED
Object Stuart Symington E28586 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: Stuart Symington | Statement: [Symington, usedBy, Stuart Symington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stuart Symington
Context triple: [Symington, usedBy, Stuart Symington]
  • A. Stuart Symington chosen
    Stuart Symington was an American businessman and politician who became the first U.S. Secretary of the Air Force and later served as a long-time United States Senator from Missouri.
  • B. Alan Cranston
    Alan Cranston was a long-serving U.S. Senator from California and influential Democratic politician known for his work on housing, arms control, and social policy.
  • C. Chester Bowles
    Chester Bowles was an American diplomat, politician, and publisher who served as U.S. ambassador to India and governor of Connecticut, known for his liberal internationalist views and postwar economic policy work.
  • D. Henry Nourse
    Henry Nourse was a notable bearer of the Nourse surname, recognized for his prominence within the family line.
  • E. Edward L. McDonnell
    Edward L. McDonnell is a film producer known for his work on major Hollywood thrillers, including the critically acclaimed crime drama "Sicario."
  • 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_69c6880ef37881909268a5a7299b9293 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1d785dc81909c033084d2068568 completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712a793cc8190b838806151851711 completed March 27, 2026, 11:28 p.m.
Created at: March 27, 2026, 2:11 p.m.