Triple

T5823446
Position Surface form Disambiguated ID Type / Status
Subject Barbara Boxer E129163 entity
Predicate predecessor P97 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: [Barbara Boxer, predecessor, Alan Cranston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Cranston
Context triple: [Barbara Boxer, predecessor, 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_69c0084869e881908d7859492183ca7b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03418d410819092b6f5f6db45ed39 completed March 22, 2026, 6:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0e85cbc8190ad75d4a8246fbe43 completed March 23, 2026, 3:18 a.m.
Created at: March 22, 2026, 3:53 p.m.