Triple

T17522814
Position Surface form Disambiguated ID Type / Status
Subject John Altschuler E426716 entity
Predicate employer P7 FINISHED
Object Ternion Productions NE NERFINISHED

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: Ternion Productions | Statement: [John Altschuler, employer, Ternion Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ternion Productions
Context triple: [John Altschuler, employer, Ternion Productions]
  • A. Tigon Studios
    Tigon Studios is a video game development company best known for creating games based on Vin Diesel’s film properties and characters.
  • B. Ternion Pictures chosen
    Ternion Pictures is a film production company involved in developing and producing motion picture projects.
  • C. Tera Shirma Studios
    Tera Shirma Studios was a prominent Detroit recording studio known for hosting influential soul and R&B sessions during the 1960s and 1970s.
  • D. Tangent Productions
    Tangent Productions is a film production company best known for producing Terry Gilliam’s fantasy adventure film "The Adventures of Baron Munchausen."
  • E. Trilith Studios
    Trilith Studios is a major film and television production complex in Georgia known for hosting large-scale projects, including many Marvel Cinematic Universe movies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d40ee08190b79d8e3d7f1b1272 completed April 19, 2026, 3:58 a.m.
Created at: April 10, 2026, 5:49 a.m.