Triple

T5794200
Position Surface form Disambiguated ID Type / Status
Subject Public Law 101-625 E128466 entity
Predicate sponsor P67 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: [Public Law 101-625, sponsor, Alan Cranston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Cranston
Context triple: [Public Law 101-625, sponsor, 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_69c00845ca68819081a2ce3ecca577f7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a91c7788190936671bf816d3772 completed March 22, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a178ccf481909beddf56b66a588d completed March 23, 2026, 2:12 a.m.
Created at: March 22, 2026, 3:51 p.m.