Triple

T10391156
Position Surface form Disambiguated ID Type / Status
Subject MARV E244893 entity
Predicate alsoKnownAs P39 FINISHED
Object MARV Studios E264293 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: MARV Studios | Statement: [MARV, alsoKnownAs, MARV Studios]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MARV Studios
Context triple: [MARV, alsoKnownAs, MARV Studios]
  • A. Marv Studios chosen
    Marv Studios is a British film production company best known for producing the Kingsman franchise and other action-comedy and genre films.
  • B. 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.
  • C. Scorpio Studios
    Scorpio Studios was a London-based recording studio known for hosting sessions by prominent rock bands in the 1970s.
  • D. D.A.R.P. Studios
    D.A.R.P. Studios is a recording and production studio associated with acclaimed American songwriter and producer Dallas Austin, known for its role in developing and producing contemporary R&B and pop music.
  • E. Bron Studios
    Bron Studios is a Canadian film and television production company known for financing and producing a range of high-profile, award-winning Hollywood projects.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9b5b43081908641a5abfb08dc2b completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d795b9974c819087340adc3622279e completed April 9, 2026, 12:04 p.m.
Created at: April 6, 2026, 12:06 p.m.