Triple

T15960727
Position Surface form Disambiguated ID Type / Status
Subject Heneral Luna E387050 entity
Predicate distributor P1951 FINISHED
Object TBA Studios E1186995 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: TBA Studios | Statement: [Heneral Luna, distributor, TBA Studios]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TBA Studios
Context triple: [Heneral Luna, distributor, TBA Studios]
  • A. TBA Studios chosen
    TBA Studios is a Philippine film production company known for producing critically acclaimed and historically themed movies.
  • B. Tigon Studios
    Tigon Studios is a video game development company best known for creating games based on Vin Diesel’s film properties and characters.
  • C. Black Tusk Studios
    Black Tusk Studios was a Canadian video game development studio based in Vancouver that was rebranded as The Coalition, best known for working on the Gears of War franchise.
  • D. Turbine Studios
    Turbine Studios is a film and television production company known for producing high-profile international projects such as the historical drama "Munich – The Edge of War."
  • E. Scorpio Studios
    Scorpio Studios was a London-based recording studio known for hosting sessions by prominent rock bands in the 1970s.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156ff4cdc81908db31394eaa191bc completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3c3aae081909366c01b3fec4d47 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:53 a.m.