Triple

T11163204
Position Surface form Disambiguated ID Type / Status
Subject David Linde E264091 entity
Predicate employer P7 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: [David Linde, employer, Participant Media]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Participant Media
Context triple: [David Linde, employer, 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. Walden Media
    Walden Media is an American film production and media company best known for creating family-oriented movies and adaptations of popular children's and young adult books.
  • D. Salem Media Group
    Salem Media Group is a U.S.-based conservative Christian media company that operates radio stations, digital media platforms, and book publishing imprints.
  • E. Millennium Media
    Millennium Media is an independent film production company best known for financing and producing action franchises such as The Expendables and Rambo.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8832fe88190a74d81f9ed547baa completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e46375c61c8190939401f790cf1593 completed April 19, 2026, 5:09 a.m.
Created at: April 8, 2026, 9:29 p.m.