Triple

T20793560
Position Surface form Disambiguated ID Type / Status
Subject Andy Crawford E511842 entity
Predicate associatedWith P37 FINISHED
Object George Dixon 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 Dixon | Statement: [Andy Crawford, associatedWith, George Dixon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Dixon
Context triple: [Andy Crawford, associatedWith, George Dixon]
  • A. George Dixon
    George Dixon is a fictional London police constable best known as the kindly, old-fashioned bobby in the long-running British television series "Dixon of Dock Green."
  • B. George Dixon
    George Dixon was an 18th-century English sea captain and explorer known for his voyages to the Pacific Northwest coast of North America.
  • C. George Dixon
    George Dixon was a pioneering Canadian boxer of the late 19th century, recognized as the first Black world boxing champion and a trailblazer in the bantamweight and featherweight divisions.
  • D. George Darrow
    George Darrow is the introspective American diplomat whose emotional entanglements and moral hesitations drive the central drama of Edith Wharton's novel "The Reef."
  • E. Norman Talbot
    Norman Talbot is a poet and academic known for his contributions to contemporary Australian literature and literary scholarship.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69e0b4cb83948190bd57bec21d78ed53 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2aadd7081908c6343821e8c655c completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:39 p.m.