Triple

T5619062
Position Surface form Disambiguated ID Type / Status
Subject Alan Cranston E147553 entity
Predicate name P16 FINISHED
Object Alan Cranston E147553 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: Alan Cranston | Statement: [Alan Cranston, name, Alan Cranston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Cranston
Context triple: [Alan Cranston, name, Alan Cranston]
  • A. Alan Cranston chosen
    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.
  • B. Stuart Symington
    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.
  • C. Henry Nourse
    Henry Nourse was a notable bearer of the Nourse surname, recognized for his prominence within the family line.
  • D. 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."
  • E. Everett Douglas
    Everett Douglas was a film editor best known for his work on classic mid-20th-century Hollywood productions, including the 1953 science fiction film "The War of the Worlds."
  • 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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021dd5d0081909d18d16596fac507 completed March 22, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0287d9d7081909a1b2510565b55fc completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:40 p.m.