Triple

T10557785
Position Surface form Disambiguated ID Type / Status
Subject Mike Medavoy E249133 entity
Predicate employer P7 FINISHED
Object Phoenix Pictures E244199 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: Phoenix Pictures | Statement: [Mike Medavoy, employer, Phoenix Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phoenix Pictures
Context triple: [Mike Medavoy, employer, Phoenix Pictures]
  • A. Phoenix Pictures chosen
    Phoenix Pictures is an American film production company known for producing critically acclaimed movies such as "Black Swan" and "The Thin Red Line."
  • B. Sun Pictures
    Sun Pictures is a prominent Indian film production and distribution company best known for producing major Tamil-language blockbuster movies.
  • C. Lewis Pictures
    Lewis Pictures is a South Korean film production company known for backing acclaimed works such as Bong Joon-ho’s fantasy drama "Okja."
  • D. Park Pictures
    Park Pictures is a production company known for its acclaimed work in commercials, music videos, and feature films.
  • E. Polygon Pictures
    Polygon Pictures is a Japanese animation studio known for its 3D CGI work on numerous anime series and international co-productions.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5271521a4819086d96e1f183ab07a completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9347ae67081909cb2c3911cb1be67 completed April 10, 2026, 5:33 p.m.
Created at: April 6, 2026, 12:35 p.m.