Triple

T2475282
Position Surface form Disambiguated ID Type / Status
Subject William Crapo Durant E55073 entity
Predicate hasMiddleName P143 FINISHED
Object Crapo E55073 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: Crapo | Statement: [William Crapo Durant, hasMiddleName, Crapo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crapo
Context triple: [William Crapo Durant, hasMiddleName, Crapo]
  • A. Crapo chosen
    Crapo is the middle name of William C. Durant, the American industrialist who co-founded General Motors and Chevrolet.
  • B. Coburn
    Coburn is a surname and given name that serves as an alternative spelling of Cockburn, borne by various notable individuals in politics, entertainment, and other fields.
  • C. John Spratt
    John Spratt is an American Democratic politician who long represented South Carolina's 5th congressional district in the U.S. House of Representatives and was known for his work on budget and defense issues.
  • D. Dirksen
    Dirksen is a surname most notably associated with Everett Dirksen, a prominent mid-20th-century American politician and U.S. Senate Minority Leader.
  • E. Christian Chabot
    Christian Chabot is an American entrepreneur best known as the co-founder and former CEO of the data visualization software company Tableau.
  • 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_69ab49e279e88190ab10d7248aea9d11 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd14c8c388190bbdc486ffed6899e completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17ab837881909bf8704acf9598e4 completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:45 p.m.