Triple

T732488
Position Surface form Disambiguated ID Type / Status
Subject Dick Cheney E14861 entity
Predicate givenName P17 FINISHED
Object Richard E19643 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: Richard | Statement: [Dick Cheney, givenName, Richard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard
Context triple: [Dick Cheney, givenName, Richard]
  • A. Richard chosen
    Richard is a common masculine given name of Germanic origin, widely used in English-speaking countries.
  • B. Edward
    Edward is a masculine given name of English origin, historically associated with kings of England and notable figures such as U.S. Senator Edward M. Kennedy.
  • C. Charles
    Charles is a masculine given name of Germanic origin that has been widely used across Europe and the English-speaking world, borne by numerous historical figures, royalty, and notable individuals.
  • D. Stephen, King of England
    Stephen, King of England, was a 12th-century monarch whose contested claim to the throne led to a prolonged civil war known as The Anarchy.
  • E. George
    George is the first name of George Washington, the first President of the United States and a key leader in the American Revolutionary War.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5d5a6b48190a2c81bfc3c6faa25 completed March 1, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad8a8f35d48190a18cf924bf5f9e45 completed March 8, 2026, 2:41 p.m.
Created at: March 1, 2026, 7:37 p.m.