Triple

T23122400
Position Surface form Disambiguated ID Type / Status
Subject Eric Overmyer E576930 entity
Predicate employer P7 FINISHED
Object Amazon 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: Amazon Studios | Statement: [Eric Overmyer, employer, Amazon Studios]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amazon Studios
Context triple: [Eric Overmyer, employer, 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 (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_69e245f6c2e881909a228fdcfeb7c7d3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e517a0481909829a73fdf255d1c completed April 29, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:59 p.m.