Triple

T3761258
Position Surface form Disambiguated ID Type / Status
Subject Lynne Cheney E82165 entity
Predicate child P120 FINISHED
Object Liz Cheney E92768 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: Liz Cheney | Statement: [Lynne Cheney, child, Liz Cheney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liz Cheney
Context triple: [Lynne Cheney, child, Liz Cheney]
  • A. Liz Cheney chosen
    Liz Cheney is an American attorney and Republican politician who served as the U.S. Representative for Wyoming and became nationally prominent for her outspoken criticism of Donald Trump and role on the House January 6th Committee.
  • B. Kay Bailey Hutchison
    Kay Bailey Hutchison is an American attorney and Republican politician who served as a long-time U.S. Senator from Texas.
  • C. Christian Chabot
    Christian Chabot is an American entrepreneur best known as the co-founder and former CEO of the data visualization software company Tableau.
  • D. Lynne Cheney
    Lynne Cheney is an American author, scholar, and conservative commentator who served as Second Lady of the United States during Dick Cheney’s vice presidency.
  • E. Kim Reynolds
    Kim Reynolds is an American Republican politician serving as the governor of Iowa and known for her conservative policies on taxes, education, and public health.
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbc553a08190ba361675901496ed completed March 8, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e5172abc81909cfa709ea866dc57 completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:35 p.m.