Triple

T8866985
Position Surface form Disambiguated ID Type / Status
Subject Brian Koppelman E211041 entity
Predicate coWriterOf P2389 FINISHED
Object Knockaround Guys E673806 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: Knockaround Guys | Statement: [Brian Koppelman, coWriterOf, Knockaround Guys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Knockaround Guys
Context triple: [Brian Koppelman, coWriterOf, Knockaround Guys]
  • A. Knockaround Guys chosen
    Knockaround Guys is a 2001 crime thriller film about the sons of Brooklyn mobsters trying to prove themselves, produced by Lawrence Bender.
  • B. Showing Out
    "Showing Out" is a track by hip-hop duo Clipse from their 2009 studio album "Til the Casket Drops."
  • C. The Good Guys
    The Good Guys is an American comedic buddy-cop television series that follows a washed-up, old-school detective and his by-the-book partner as they bumble through crime-solving in Dallas.
  • D. The Knock
    The Knock is a prominent hill and local landmark within the Bathgate Hills of West Lothian, Scotland, offering panoramic views over the surrounding landscape.
  • E. A Regular Guy
    A Regular Guy is a novel by American author Mona Simpson that explores family dynamics, identity, and the emotional complexities surrounding a Silicon Valley entrepreneur and his estranged daughter.
  • 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6108530c819084559f4de669ce20 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0dafdf48190abc1fe1a8397e339 completed April 3, 2026, 11:13 a.m.
Created at: March 30, 2026, 6:51 p.m.