Triple

T7714680
Position Surface form Disambiguated ID Type / Status
Subject The Dark Tower (2017 film) E174850 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: [The Dark Tower (2017 film), productionCompany, MRC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MRC
Context triple: [The Dark Tower (2017 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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702ca8f048190a6ea27b8cee2f93e completed March 27, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8acd5e32c8190869834b21aeae8a7 completed March 29, 2026, 4:38 a.m.
Created at: March 27, 2026, 4:04 p.m.