Triple

T10836672
Position Surface form Disambiguated ID Type / Status
Subject Ride Along E255776 entity
Predicate productionCompany P490 FINISHED
Object Cube Vision E339424 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: Cube Vision | Statement: [Ride Along, productionCompany, Cube Vision]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cube Vision
Context triple: [Ride Along, productionCompany, Cube Vision]
  • A. Cube Vision chosen
    Cube Vision is a film and television production company established by rapper and actor Ice Cube, known for producing many of his movies and related projects.
  • B. Wonder View
    Wonder View is a famous scenic lookout point along South Africa’s Panorama Route, renowned for its expansive views over the Lowveld and surrounding landscapes.
  • C. Cubeatz
    Cubeatz is a German hip-hop production duo known for crafting atmospheric, melodic trap beats and collaborating with major artists across the US rap scene.
  • D. Sky Vision
    Sky Vision is the international distribution and production arm associated with the British broadcaster Sky, handling global sales and rights for its television content.
  • E. The Cube
    The Cube is the powerful, ancient artifact in the Transformers universe capable of creating and granting life to Cybertronian robots.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d746ff70148190b844ab92d796af6c completed April 9, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb12aae648190aa7c93cee60ae3ea completed April 14, 2026, 9:27 p.m.
Created at: April 8, 2026, 9:19 p.m.