Triple

T15268380
Position Surface form Disambiguated ID Type / Status
Subject Nilsson Schmilsson E364956 entity
Predicate recordedIn P4490 FINISHED
Object Trident Studios E791291 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: Trident Studios | Statement: [Nilsson Schmilsson, recordedIn, Trident Studios]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trident Studios
Context triple: [Nilsson Schmilsson, recordedIn, Trident Studios]
  • A. 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.
  • B. Scorpio Studios chosen
    Scorpio Studios was a London-based recording studio known for hosting sessions by prominent rock bands in the 1970s.
  • C. Tigon Studios
    Tigon Studios is a video game development company best known for creating games based on Vin Diesel’s film properties and characters.
  • D. Skyline Studios
    Skyline Studios is a professional recording studio known for hosting music production and album recording sessions.
  • E. Granada Studios
    Granada Studios was a historic television production complex in Manchester, England, long associated with ITV Granada and iconic British TV shows such as Coronation Street.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0094ca9ac8190a1f97a7b74c96cd5 completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee602067c81908b1aaaca8871eeb9 completed May 9, 2026, 7:45 a.m.
Created at: April 10, 2026, 3:14 a.m.