Triple

T15192829
Position Surface form Disambiguated ID Type / Status
Subject Death (proto-punk band) E363061 entity
Predicate foundedBy P104 FINISHED
Object Dannis Hackney E363059 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: Dannis Hackney | Statement: [Death (proto-punk band), foundedBy, Dannis Hackney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dannis Hackney
Context triple: [Death (proto-punk band), foundedBy, Dannis Hackney]
  • A. Darin Cunningham
    Darin Cunningham is an electronic music producer and DJ best known for his experimental work under the moniker Actress.
  • B. Bobby Hackney chosen
    Bobby Hackney is an American musician best known as the bassist and vocalist of the pioneering proto-punk band Death.
  • C. Tony Darrow
    Tony Darrow is an American actor best known for his supporting roles as mobsters in films and television, particularly in Martin Scorsese’s crime dramas.
  • D. Darin Scott
    Darin Scott is an American filmmaker and screenwriter known for his work on crime and thriller films, including co-writing the 2006 action drama "Waist Deep."
  • E. Jimmy Douglass
    Jimmy Douglass is a renowned American recording engineer and producer known for his work with major R&B and hip-hop artists and his long association with Timbaland.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067d55ac8190b7a7fce36e6ddf3c completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff3649d1408190a4fed26539de1849 completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:10 a.m.