Triple

T16855040
Position Surface form Disambiguated ID Type / Status
Subject AMPTP E409760 entity
Predicate hasMember P10 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: [AMPTP, hasMember, Amazon Studios]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amazon Studios
Context triple: [AMPTP, hasMember, 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. A+E Studios
    A+E Studios is a television production company known for developing and producing scripted series across cable and streaming platforms.
  • 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. 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.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b37c6e808190975b14b228253029 completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb2337348190ae79dc4b188c94cf completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.