Triple

T20335393
Position Surface form Disambiguated ID Type / Status
Subject Buzzcocks E492593 entity
Predicate hasPart P35 FINISHED
Object Danny Farrant
Danny Farrant is an English drummer best known for his work with the influential punk band Buzzcocks.
E1426214 NE FINISHED

How this triple was built (4 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: Danny Farrant | Statement: [Buzzcocks, hasPart, Danny Farrant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danny Farrant
Context triple: [Buzzcocks, hasPart, Danny Farrant]
  • A. Paul Verrall
    Paul Verrall is a principled, idealistic journalist in the play and film "Born Yesterday," who helps expose political corruption and guides the naive heroine toward intellectual and moral awakening.
  • B. Bill Gartley
    Bill Gartley is the ruthless and sadistic owner of a laundry factory in the horror film "The Mangler," where a possessed industrial machine terrorizes workers.
  • C. Allen Davey
    Allen Davey was an American cinematographer active in early Hollywood filmmaking.
  • D. Andy Crofts
    Andy Crofts is an English musician and songwriter best known as a longtime collaborator and band member of Paul Weller.
  • E. Lee Humphrey
    Lee Humphrey is an American former college basketball guard best known as a sharpshooting three-point specialist for the University of Florida's back-to-back national championship teams in the mid-2000s.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Danny Farrant
Triple: [Buzzcocks, hasPart, Danny Farrant]
Generated description
Danny Farrant is an English drummer best known for his work with the influential punk band Buzzcocks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Danny Farrant
Target entity description: Danny Farrant is an English drummer best known for his work with the influential punk band Buzzcocks.
  • A. Paul Verrall
    Paul Verrall is a principled, idealistic journalist in the play and film "Born Yesterday," who helps expose political corruption and guides the naive heroine toward intellectual and moral awakening.
  • B. Bill Gartley
    Bill Gartley is the ruthless and sadistic owner of a laundry factory in the horror film "The Mangler," where a possessed industrial machine terrorizes workers.
  • C. Allen Davey
    Allen Davey was an American cinematographer active in early Hollywood filmmaking.
  • D. Andy Crofts
    Andy Crofts is an English musician and songwriter best known as a longtime collaborator and band member of Paul Weller.
  • E. Lee Humphrey
    Lee Humphrey is an American former college basketball guard best known as a sharpshooting three-point specialist for the University of Florida's back-to-back national championship teams in the mid-2000s.
  • F. None of above. chosen

Provenance (5 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677ea8a088190b2b37accd6b24277 completed April 20, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08707bbabc81908788f50a96d7c20f completed May 16, 2026, 1:26 p.m.
NEDg Description generation batch_6a087129ce3c8190a67ac34ec697ad31 completed May 16, 2026, 1:29 p.m.
NED2 Entity disambiguation (via description) batch_6a0871e3573c81908216b5e508374081 completed May 16, 2026, 1:32 p.m.
Created at: April 16, 2026, 11:23 a.m.