Triple

T8335491
Position Surface form Disambiguated ID Type / Status
Subject Black Adam E195776 entity
Predicate productionCompany P490 FINISHED
Object DC Films E195733 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: DC Films | Statement: [Black Adam, productionCompany, DC Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DC Films
Context triple: [Black Adam, productionCompany, DC Films]
  • A. DC Films chosen
    DC Films is a film production banner of Warner Bros. focused on creating movies based on DC Comics characters and properties.
  • B. DC Studios
    DC Studios is the film and television production division responsible for developing and overseeing live-action and animated projects based on DC Comics properties.
  • C. DC Entertainment
    DC Entertainment is a media company and subsidiary of Warner Bros. responsible for managing and developing film, television, and other adaptations of DC Comics properties.
  • D. DC Comics
    DC Comics is a major American comic book publisher best known for iconic superhero characters such as Superman, Batman, and Wonder Woman.
  • E. DC Extended Universe
    The DC Extended Universe is a shared cinematic universe of superhero films and related media based on DC Comics characters, featuring interconnected stories and recurring characters across multiple movies.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fd2ca648190991e398ba70caf8d completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc71005f0819092c46fa5a43f2a15 completed April 2, 2026, 1:32 a.m.
Created at: March 30, 2026, 5:57 p.m.