Triple

T17884318
Position Surface form Disambiguated ID Type / Status
Subject Brian Azzarello E447162 entity
Predicate notablePublicationImprint P2763 FINISHED
Object DC Black Label E447165 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 Black Label | Statement: [Brian Azzarello, notablePublicationImprint, DC Black Label]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DC Black Label
Context triple: [Brian Azzarello, notablePublicationImprint, DC Black Label]
  • A. DC Black Label chosen
    DC Black Label is a DC Comics imprint focused on mature, standalone, and often darker stories featuring iconic DC characters outside main continuity.
  • B. DC Films
    DC Films is a film production banner of Warner Bros. focused on creating movies based on DC Comics characters and properties.
  • C. 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.
  • D. DC
    DC is the widely used nickname of Dan Carter, the legendary New Zealand rugby union fly-half regarded as one of the greatest players in the sport’s history.
  • E. DC
    DC is the regional vehicle registration code assigned to motor vehicles registered in Polewali Mandar Regency, Indonesia.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49c11530881908ad98fbd0a52b1c3 completed April 19, 2026, 9:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0313d7ca4881908ce9c8e9a8d44e11 completed May 12, 2026, 11:49 a.m.
Created at: April 10, 2026, 10:18 a.m.