Triple

T2009197
Position Surface form Disambiguated ID Type / Status
Subject The Post E43652 entity
Predicate productionCompany P490 FINISHED
Object Participant Media E177062 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: Participant Media | Statement: [The Post, productionCompany, Participant Media]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Participant Media
Context triple: [The Post, productionCompany, Participant Media]
  • A. Participant Media chosen
    Participant Media is an American film and television production company known for creating socially conscious, issue-driven content that aims to inspire activism and change.
  • B. Participant Productions
    Participant Productions is a film production company known for creating socially conscious, issue-driven movies and documentaries.
  • C. 1+1 Media Group
    1+1 Media Group is a major Ukrainian media holding company that operates television channels, digital platforms, and other media assets.
  • D. Ingenious Media
    Ingenious Media is a British media investment and production company known for financing and supporting major film projects, including the acclaimed adaptation of "Life of Pi."
  • E. Peregrine Productions
    Peregrine Productions is a film production company best known for its involvement in creating Stanley Kubrick’s 1980 horror classic "The Shining."
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb89be08c81909eb5ea672ea46b2b completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ae395a08190abf2077ad7a975ba completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:37 p.m.