Triple

T16462565
Position Surface form Disambiguated ID Type / Status
Subject Superman: Krypton Coaster E399842 entity
Predicate themedAfter P5290 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: [Superman: Krypton Coaster, themedAfter, DC Comics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DC Comics
Context triple: [Superman: Krypton Coaster, themedAfter, 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. DC
    DC is the regional vehicle registration code assigned to motor vehicles registered in Polewali Mandar Regency, Indonesia.
  • D. DC
    DC is the standard two-letter U.S. postal abbreviation for the District of Columbia, the federal district containing the nation’s capital, Washington.
  • E. DC
    DC was a dominant centrist and Christian democratic political party in Italy that played a leading role in the country’s post–World War II politics until the early 1990s.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d824cd881909b1f2fd40e14ee35 completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f555f6081908b1f0d524b6fb9a7 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:10 a.m.