Triple

T657824
Position Surface form Disambiguated ID Type / Status
Subject Gray Davis E11686 entity
Predicate name P16 FINISHED
Object Gray Davis E11686 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: Gray Davis | Statement: [Gray Davis, name, Gray Davis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gray Davis
Context triple: [Gray Davis, name, Gray Davis]
  • A. Gray Davis chosen
    Gray Davis is an American Democratic politician who served as the 37th Governor of California from 1999 until his recall in 2003.
  • B. Jerry Brown
    Jerry Brown is an American Democratic politician who served multiple terms as governor of California and ran several times for the U.S. presidency.
  • C. George Deukmejian
    George Deukmejian was an American Republican politician who served as the 35th governor of California from 1983 to 1991.
  • D. William Newsom
    William Newsom was an American state appeals court judge and prominent San Francisco attorney known as the father of California Governor Gavin Newsom and for his long-standing connections to influential political and business circles.
  • E. Gavin Newsom
    Gavin Newsom is an American politician and member of the Democratic Party who serves as the governor of California and is known for his progressive policies on issues such as climate change, healthcare, and social justice.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fa55e048190bd9913c6c31772d0 completed March 1, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69a63747e47481909877b49507b67c2c completed March 3, 2026, 1:20 a.m.
Created at: March 1, 2026, 7:36 p.m.