Triple

T22819803
Position Surface form Disambiguated ID Type / Status
Subject Heaven and Hell E565194 entity
Predicate recordedIn P4490 FINISHED
Object Nemo Studios 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: Nemo Studios | Statement: [Heaven and Hell, recordedIn, Nemo Studios]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nemo Studios
Context triple: [Heaven and Hell, recordedIn, Nemo Studios]
  • A. Nemo Studios chosen
    Nemo Studios was Vangelis’s personal London recording studio, renowned as the creative hub where he produced many of his influential electronic and film music works.
  • B. Tigon Studios
    Tigon Studios is a video game development company best known for creating games based on Vin Diesel’s film properties and characters.
  • C. Zoetrope Studios
    Zoetrope Studios was an influential American film production company founded by Francis Ford Coppola, known for its innovative, auteur-driven approach to filmmaking in the 1970s and 1980s.
  • D. Eldorado Studios
    Eldorado Studios is a renowned Los Angeles recording studio known for hosting influential rock and metal artists.
  • 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 (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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17dcf39a88190bec26affc304236d completed April 29, 2026, 3:41 a.m.
Created at: April 17, 2026, 3:33 p.m.