Triple

T5741407
Position Surface form Disambiguated ID Type / Status
Subject Promised Land E126621 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: [Promised Land, productionCompany, Participant Media]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Participant Media
Context triple: [Promised Land, 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. Millennium Media
    Millennium Media is an independent film production company best known for financing and producing action franchises such as The Expendables and Rambo.
  • D. Acorn Media
    Acorn Media is a British-focused home entertainment and streaming company known for distributing and producing television dramas and mystery series.
  • E. 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.
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0258382908190af8787feb1e5fbcd completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e1bfe4481908740aa20d55ec8f6 completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:48 p.m.