Triple

T9680239
Position Surface form Disambiguated ID Type / Status
Subject Killing Joke E234260 entity
Predicate hasMember P10 FINISHED
Object Martin Atkins
Martin Atkins is an English drummer and producer best known for his work in post-punk and industrial music with bands such as Public Image Ltd, Ministry, and Pigface.
E813423 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: Martin Atkins | Statement: [Killing Joke, hasMember, Martin Atkins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Atkins
Context triple: [Killing Joke, hasMember, Martin Atkins]
  • A. Martyn Atkins
    Martyn Atkins is a British graphic designer and art director known for creating album covers and visual identities for prominent rock and alternative musicians.
  • B. Martin Atkinson
    Martin Atkinson is an English former professional football referee who officiated in the Premier League and at international level.
  • C. Peter Atkinson
    Peter Atkinson is a notable individual distinguished by achievements or recognition significant enough to be specifically associated with the surname Atkinson.
  • D. Antony Coleman
    Antony Coleman is an actor known for his role in the 2006 political war thriller film "Blood Diamond."
  • E. Ed Shearmur
    Ed Shearmur is a British film composer known for scoring a wide range of Hollywood movies across genres.
  • 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: Martin Atkins
Triple: [Killing Joke, hasMember, Martin Atkins]
Generated description
Martin Atkins is an English drummer and producer best known for his work in post-punk and industrial music with bands such as Public Image Ltd, Ministry, and Pigface.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Martin Atkins
Target entity description: Martin Atkins is an English drummer and producer best known for his work in post-punk and industrial music with bands such as Public Image Ltd, Ministry, and Pigface.
  • A. Martyn Atkins
    Martyn Atkins is a British graphic designer and art director known for creating album covers and visual identities for prominent rock and alternative musicians.
  • B. Martin Atkinson
    Martin Atkinson is an English former professional football referee who officiated in the Premier League and at international level.
  • C. Peter Atkinson
    Peter Atkinson is a notable individual distinguished by achievements or recognition significant enough to be specifically associated with the surname Atkinson.
  • D. Antony Coleman
    Antony Coleman is an actor known for his role in the 2006 political war thriller film "Blood Diamond."
  • E. Ed Shearmur
    Ed Shearmur is a British film composer known for scoring a wide range of Hollywood movies across genres.
  • 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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9c9dcbe881908ae926a5b5eae759 completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a395a508190a185d08f3719ee09 completed April 4, 2026, 10:01 p.m.
NEDg Description generation batch_69d18b28b8c88190ba658f7c3f5e438c completed April 4, 2026, 10:05 p.m.
NED2 Entity disambiguation (via description) batch_69d18bb5d1908190a34dec67fd98a226 completed April 4, 2026, 10:07 p.m.
Created at: March 30, 2026, 8:16 p.m.