Triple

T10254846
Position Surface form Disambiguated ID Type / Status
Subject Mortal Engines (2018 film) E240435 entity
Predicate productionCompany P490 FINISHED
Object MRC E125467 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: MRC | Statement: [Mortal Engines (2018 film), productionCompany, MRC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MRC
Context triple: [Mortal Engines (2018 film), productionCompany, MRC]
  • A. MRC chosen
    MRC is an American independent film and television studio known for producing and financing a wide range of acclaimed movies and TV series.
  • B. MRC
    MRC is a major UK organization that funds and supports medical research to improve human health.
  • C. MRC
    MRC is an intergovernmental organization that coordinates sustainable development and management of the Mekong River basin among its member countries.
  • D. MCRC
    MCRC is the United States Marine Corps Recruiting Command responsible for enlisting and accessing new Marines into the Corps.
  • E. MRC Council
    The MRC Council is the highest decision-making body of the Mekong River Commission, comprising ministerial-level representatives from member countries who set policies and strategic directions for sustainable management of the Mekong River basin.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d24b9a308190bba6d8e3e22e5ee0 completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7cec62c819083e493e0fc7c65b5 completed April 9, 2026, 12:50 a.m.
Created at: April 6, 2026, 11:30 a.m.