Triple

T10224221
Position Surface form Disambiguated ID Type / Status
Subject Titus Welliver E242659 entity
Predicate employer P7 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: [Titus Welliver, employer, Amazon Studios]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amazon Studios
Context triple: [Titus Welliver, 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. 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa84a9ac819093d551005a1c8f3d completed April 6, 2026, 12:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d6a8457e9c819085f222bb002be892 completed April 8, 2026, 7:11 p.m.
Created at: April 6, 2026, 11:11 a.m.