Triple

T19551462
Position Surface form Disambiguated ID Type / Status
Subject Duke E489206 entity
Predicate recordedAt P7677 FINISHED
Object Polar 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: Polar Studios | Statement: [Duke, recordedAt, Polar Studios]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polar Studios
Context triple: [Duke, recordedAt, Polar Studios]
  • A. Polar Studios chosen
    Polar Studios was a renowned Stockholm recording studio best known as ABBA’s primary studio and a hub for major international artists in the late 20th century.
  • B. Heaven Studios
    Heaven Studios is a record label associated with rapper Royce da 5'9", known for releasing his album "Book of Ryan."
  • C. Sky Studios
    Sky Studios is the original programming and production arm of European broadcaster Sky, known for creating high-profile television series and films across drama, comedy, and other genres.
  • D. Metropolis Studios
    Metropolis Studios is a renowned London-based recording facility known for hosting major artists and producing numerous acclaimed albums.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63d30a1d8819084d1bc60a5e49cae completed April 20, 2026, 2:50 p.m.
Created at: April 10, 2026, 1:41 p.m.