Triple

T1832782
Position Surface form Disambiguated ID Type / Status
Subject Owen King E40995 entity
Predicate hasCollaboratedWith P8554 FINISHED
Object DC Comics E18704 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 Comics | Statement: [Owen King, hasCollaboratedWith, DC Comics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DC Comics
Context triple: [Owen King, hasCollaboratedWith, DC Comics]
  • A. DC Comics chosen
    DC Comics is a major American comic book publisher best known for iconic superhero characters such as Superman, Batman, and Wonder Woman.
  • B. 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.
  • C. Marvel Comics
    Marvel Comics is a major American comic book publisher best known for creating the Marvel Universe, home to iconic superheroes such as Spider-Man, Iron Man, the X-Men, and Captain America.
  • D. DC Universe
    The DC Universe is a fictional superhero setting featuring characters like Superman, Batman, and Wonder Woman who coexist and interact across interconnected stories and worlds.
  • E. DC Films
    DC Films is a film production banner of Warner Bros. focused on creating movies based on DC Comics characters and properties.
  • 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb024287c8190b68aa070e556a381 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adead6888081909f89704f0c070d68 completed March 8, 2026, 9:32 p.m.
Created at: March 4, 2026, 7:33 p.m.