Triple

T90674
Position Surface form Disambiguated ID Type / Status
Subject Richard Nixon E1821 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: [Richard Nixon, givenName, Richard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard
Context triple: [Richard Nixon, 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. 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.
  • E. King John of England
    King John of England was the early 13th-century English monarch whose reign was marked by military failures, heavy taxation, and baronial rebellion that led to the sealing of Magna Carta in 1215.
  • 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_69a24d1a97dc819094e6c021fe9b05a7 completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a24f6c29888190890caa7872d63ac6 completed Feb. 28, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69a34d8edb8c81909c7229fe6e4c0569 completed Feb. 28, 2026, 8:18 p.m.
Created at: Feb. 28, 2026, 2:07 a.m.