Triple

T7230402
Position Surface form Disambiguated ID Type / Status
Subject Chi-Raq E154885 entity
Predicate distributor P1951 FINISHED
Object Amazon Studios E31212 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: Amazon Studios | Statement: [Chi-Raq, distributor, Amazon Studios]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amazon Studios
Context triple: [Chi-Raq, distributor, Amazon Studios]
  • A. Amazon Studios chosen
    Amazon Studios is the film and television production and distribution arm of Amazon, known for creating original content for the Prime Video streaming platform.
  • B. Netflix Studios
    Netflix Studios is the in-house production arm of Netflix responsible for developing and producing original films and television series for the streaming platform.
  • C. 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.
  • D. ABC studios
    ABC Studios is a television production facility and studio complex associated with the American Broadcasting Company, used for producing and filming various TV shows and game shows.
  • E. Atlas Studios
    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.
  • 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_69c68811dd1c8190ac460bb39e64e1f0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea0d9b6c8190a0b5f0ab8d5cca19 completed March 27, 2026, 8:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc22a39481909a2f38014260f302 completed March 28, 2026, 12:40 p.m.
Created at: March 27, 2026, 2:54 p.m.