Triple

T13369819
Position Surface form Disambiguated ID Type / Status
Subject City of Ember E319031 entity
Predicate productionCompany P490 FINISHED
Object Walden Media E658808 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: Walden Media | Statement: [City of Ember, productionCompany, Walden Media]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walden Media
Context triple: [City of Ember, productionCompany, Walden Media]
  • A. Walden Media chosen
    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.
  • B. Mockingbird Pictures
    Mockingbird Pictures is a film production company known for producing independent, character-driven movies such as the drama "Last Days in the Desert."
  • C. Lakeshore Entertainment
    Lakeshore Entertainment is an American independent film production company known for financing and producing a wide range of commercially successful and critically acclaimed movies.
  • D. Benaroya Pictures
    Benaroya Pictures is an independent film production company known for financing and producing a range of critically acclaimed and commercially successful feature films.
  • E. Acorn Pictures
    Acorn Pictures is a film production company best known for its involvement in the acclaimed British comedy-drama "Educating Rita."
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd79184819088948cd38d10a4a5 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72680df088190b8dbcc8ad0d7366e completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:33 p.m.