Triple

T16426534
Position Surface form Disambiguated ID Type / Status
Subject Bill Laurance E398956 entity
Predicate collaboratedWith P435 FINISHED
Object Larnell Lewis E1210533 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: Larnell Lewis | Statement: [Bill Laurance, collaboratedWith, Larnell Lewis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larnell Lewis
Context triple: [Bill Laurance, collaboratedWith, Larnell Lewis]
  • A. Larnell Lewis chosen
    Larnell Lewis is a Canadian Grammy-winning jazz and fusion drummer, composer, and educator best known for his work with the band Snarky Puppy.
  • B. Norm Lewis
    Norm Lewis is an American baritone actor and singer best known for his work on Broadway and in film and television, including roles in productions like The Phantom of the Opera and Scandal.
  • C. Larvell Jones
    Larvell Jones is a character from the "Police Academy" film series, best known for his remarkable ability to produce realistic sound effects with his voice.
  • D. Darnell Lewis
    Darnell Lewis is a central comedic character in the film "Get Hard," portrayed as a small-business owner who helps a wealthy, naive financier prepare for prison life.
  • E. Darnell Earley
    Darnell Earley is an American public administrator best known for his controversial role overseeing Flint, Michigan, during the period leading up to the city's water crisis.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328fb6cd881908fb6cd1c60f5ac3c completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00458168888190bd0be495efa5c563 completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:09 a.m.