Triple

T7276789
Position Surface form Disambiguated ID Type / Status
Subject Leslie Banks E163050 entity
Predicate name P16 FINISHED
Object Leslie Banks E163050 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: Leslie Banks | Statement: [Leslie Banks, name, Leslie Banks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leslie Banks
Context triple: [Leslie Banks, name, Leslie Banks]
  • A. Leslie Banks chosen
    Leslie Banks was a British stage and film actor best known for his distinctive scarred appearance and roles in early 20th-century cinema, including classic thrillers and dramas.
  • B. Leslie Williams
    Leslie Williams is a musician known for being a member of the British electronic music collective Beats International, led by Norman Cook (later known as Fatboy Slim).
  • C. Leslie Alexander
    Leslie Alexander is known primarily as a child of American politician and former U.S. Senator Lamar Alexander.
  • D. Leslie Alexander
    Leslie Alexander is an American businessman best known as the former owner of the NBA’s Houston Rockets and the WNBA’s Houston Comets.
  • E. Cress Williams
    Cress Williams is an American actor best known for his television roles, including the lead in the superhero series "Black Lightning" and prominent parts in shows like "Hart of Dixie" and "Prison Break."
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb2f239c819097c1ac4d6de8b0e5 completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db3110688190bf52180ea159c91c completed March 28, 2026, 1:44 p.m.
Created at: March 27, 2026, 2:59 p.m.