Triple

T15619830
Position Surface form Disambiguated ID Type / Status
Subject George Wheeler E375519 entity
Predicate name P16 FINISHED
Object George Wheeler NE NERFINISHED

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: George Wheeler | Statement: [George Wheeler, name, George Wheeler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Wheeler
Context triple: [George Wheeler, name, George Wheeler]
  • A. George Wheeler chosen
    George Wheeler was a 19th-century American surveyor and army officer best known for leading the Wheeler Survey, a major U.S. government exploration and mapping expedition of the American West.
  • B. William Wheeler
    William Wheeler is an American screenwriter known for his work on films such as the biographical drama "Queen of Katwe."
  • C. Charles Wheeler
    Charles Wheeler is a fictional lawyer in the film "Philadelphia" who becomes the supportive partner of the protagonist, Andrew Beckett, during his wrongful dismissal lawsuit over AIDS discrimination.
  • D. James Wheeler
    James Wheeler is an American entrepreneur best known as a founder of the consumer electronics retail chain Best Buy.
  • E. Frank H. Wheeler
    Frank H. Wheeler was an American industrialist and early automotive pioneer who co-founded and helped finance the Indianapolis Motor Speedway.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e997ce481909b2f10d25705fbc6 completed April 16, 2026, 2:51 a.m.
Created at: April 10, 2026, 4:13 a.m.