Triple

T4223613
Position Surface form Disambiguated ID Type / Status
Subject Pinewood Atlanta Studios E94400 entity
Predicate formerNameOf P65 FINISHED
Object Trilith Studios E94399 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: Trilith Studios | Statement: [Pinewood Atlanta Studios, formerNameOf, Trilith Studios]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trilith Studios
Context triple: [Pinewood Atlanta Studios, formerNameOf, Trilith Studios]
  • A. Trilith Studios chosen
    Trilith Studios is a major film and television production complex in Georgia known for hosting large-scale projects, including many Marvel Cinematic Universe movies.
  • B. Cosmos Studios
    Cosmos Studios is a media production company founded by science communicator Ann Druyan that creates documentaries and content focused on science, space, and the legacy of Carl Sagan’s work.
  • C. Elixir Studios
    Elixir Studios was a British video game development company known for strategy and simulation titles in the early 2000s.
  • D. Studio 37
    Studio 37 is a French film and television production company known for backing a range of contemporary European cinematic projects.
  • E. Revue Studios
    Revue Studios was a mid-20th-century American television production company best known for creating and distributing numerous popular TV series during the 1950s and 1960s.
  • 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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e4bf6088190926b982039a12079 completed March 12, 2026, 11:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5964532e08190bb1dc56f734e6ebb completed March 14, 2026, 5:09 p.m.
Created at: March 12, 2026, 11:04 p.m.