Triple

T6198490
Position Surface form Disambiguated ID Type / Status
Subject Kenneth Wilson E138570 entity
Predicate familyName P18 FINISHED
Object Wilson E4321 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: Wilson | Statement: [Kenneth Wilson, familyName, Wilson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilson
Context triple: [Kenneth Wilson, familyName, Wilson]
  • A. Wilson chosen
    Wilson is a common English-language surname borne by numerous notable figures across fields such as science, politics, sports, and the arts.
  • B. Wilson
    "Wilson" is a 1944 American biographical film about U.S. President Woodrow Wilson, noted for its ambitious production and multiple Academy Awards.
  • C. Wilson
    Wilson is a Chicago Transit Authority 'L' station on the North Side that serves as a major stop on the Red Line.
  • D. Williams
    Williams is a common English surname borne by numerous notable figures across sports, politics, arts, and entertainment.
  • E. Williams
    Williams is a small historic town in northern Arizona known as a gateway to the Grand Canyon and for its preserved Route 66 charm.
  • 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06251b47881909bd8d2ea37541959 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f302984819089c6a17dda476a4b completed March 23, 2026, 4:49 p.m.
Created at: March 22, 2026, 4:20 p.m.