Triple

T17201683
Position Surface form Disambiguated ID Type / Status
Subject Splice E417488 entity
Predicate productionCompany P490 FINISHED
Object Dark Castle Entertainment E197245 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: Dark Castle Entertainment | Statement: [Splice, productionCompany, Dark Castle Entertainment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dark Castle Entertainment
Context triple: [Splice, productionCompany, Dark Castle Entertainment]
  • A. Dark Castle Entertainment chosen
    Dark Castle Entertainment is an American film production company known for producing genre films, particularly horror and action thrillers.
  • B. LightTower Entertainment
    LightTower Entertainment is a film production company known for working on projects such as the 2010 romantic comedy ensemble film "Mother’s Day."
  • C. Stonebridge Entertainment
    Stonebridge Entertainment is a film production company known for producing the 2017 supernatural horror remake "Flatliners."
  • D. Nightdive Studios
    Nightdive Studios is a video game developer and publisher known for restoring and re-releasing classic titles with modern enhancements.
  • E. Monkeystone Games
    Monkeystone Games was an independent video game development studio co-founded by industry veterans including Tom Hall, known for creating mobile and handheld titles in the early 2000s.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42db014b08190b88a5001e9f7811b completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fdc13d88190bbf9e6d1272814d2 completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:38 a.m.