Triple

T10998767
Position Surface form Disambiguated ID Type / Status
Subject Lauren Holiday E259952 entity
Predicate familyName P18 FINISHED
Object Cheney E14861 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: Cheney | Statement: [Lauren Holiday, familyName, Cheney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cheney
Context triple: [Lauren Holiday, familyName, Cheney]
  • A. Jeff Cheney
    Jeff Cheney is an American politician and businessman who serves as the mayor of the rapidly growing city of Frisco, Texas.
  • B. Oren Burbank Cheney
    Oren Burbank Cheney was a 19th-century American educator, abolitionist, and Free Will Baptist minister best known as the founding president of Bates College in Maine.
  • C. Quayle
    Quayle is the surname of Dan Quayle, the 44th vice president of the United States who served under President George H. W. Bush.
  • D. Kerrey
    Kerrey is a surname most prominently associated with American politician and former Nebraska governor and U.S. senator Bob Kerrey.
  • E. Dick Cheney chosen
    Dick Cheney is an American politician and businessman who served as the 46th vice president of the United States under George W. Bush and was a leading architect of U.S. foreign and defense policy in the early 21st century.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d796d3b08c81909376cd73c42fcefe completed April 9, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69e34530ada081909dc58ff0261e93e7 completed April 18, 2026, 8:47 a.m.
Created at: April 8, 2026, 9:24 p.m.