Triple

T1781920
Position Surface form Disambiguated ID Type / Status
Subject Justice League E39308 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: [Justice League, productionCompany, DC Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DC Films
Context triple: [Justice League, 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 Comics
    DC Comics is a major American comic book publisher best known for iconic superhero characters such as Superman, Batman, and Wonder Woman.
  • D. 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.
  • E. Warner Bros. Pictures
    Warner Bros. Pictures is a major American film production and distribution studio known for releasing numerous blockbuster movies across a wide range of genres.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64e34fe881908aa75f2b4141b87b completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9a4ee9c8190a6cdb5df16a48711 completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:31 p.m.