Triple

T19932358
Position Surface form Disambiguated ID Type / Status
Subject CLA Studios E479085 entity
Predicate near P350 FINISHED
Object Atlas 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: Atlas Studios | Statement: [CLA Studios, near, Atlas Studios]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atlas Studios
Context triple: [CLA Studios, near, Atlas Studios]
  • A. Atlas Studios chosen
    Atlas Studios is a major film studio complex in Morocco renowned for its large desert sets and frequent use as a shooting location for international movies and television series.
  • B. Atlas Entertainment
    Atlas Entertainment is an American film and television production company known for backing major studio projects, including high-profile dramas and blockbuster franchises.
  • 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. Annapurna Studios
    Annapurna Studios is a prominent Indian film production and post-production company based in Hyderabad, widely recognized for its role in shaping Telugu cinema.
  • E. Atlas Productions
    Atlas Productions is the film production company responsible for bringing the first installment of the "Atlas Shrugged" novel adaptation to the screen.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a14a2348190b41f8e320fe661d6 completed April 20, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:53 p.m.