Triple

T6444139
Position Surface form Disambiguated ID Type / Status
Subject Grant Heslov E138298 entity
Predicate coFounded P104 FINISHED
Object Smokehouse Pictures E125478 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: Smokehouse Pictures | Statement: [Grant Heslov, coFounded, Smokehouse Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smokehouse Pictures
Context triple: [Grant Heslov, coFounded, Smokehouse Pictures]
  • A. Smokehouse Pictures chosen
    Smokehouse Pictures is a film and television production company co-founded by George Clooney and Grant Heslov, known for producing acclaimed works such as the Oscar-winning film "Argo."
  • B. Cross Creek Pictures
    Cross Creek Pictures is an American film production company known for financing and producing critically acclaimed movies such as "Black Swan."
  • C. MadRiver Pictures
    MadRiver Pictures is a film production company known for financing and producing high-profile, director-driven feature films.
  • D. Smokewood Entertainment
    Smokewood Entertainment is a film production company best known for producing the critically acclaimed drama "Precious."
  • E. Ghost House Pictures
    Ghost House Pictures is a film production company co-founded by Sam Raimi, best known for producing horror movies such as the "Evil Dead" series and other genre films.
  • 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_69c008aa61ac8190bc96715ed79fe2d8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0698c17ec81909f6bbcbe636a67fd completed March 22, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bc718dc8190b186d09a17562d26 completed March 27, 2026, 9:20 a.m.
Created at: March 22, 2026, 4:46 p.m.