Triple

T9375386
Position Surface form Disambiguated ID Type / Status
Subject The Bends E225634 entity
Predicate producer P490 FINISHED
Object John Leckie
John Leckie is a renowned English record producer and engineer known for his influential work with artists such as Radiohead, The Stone Roses, and Muse.
 E794538 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: John Leckie | Statement: [The Bends, producer, John Leckie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Leckie
Context triple: [The Bends, producer, John Leckie]
  • A. Shaun Parkes
    Shaun Parkes is a British actor known for his versatile performances in film, television, and theatre, including prominent roles in series such as "Casanova," "Doctor Who," and "Small Axe."
  • B. Ian Mackley
    Ian Mackley is the husband of British comedian and television personality Julian Clary.
  • C. Darren Gilshenan
    Darren Gilshenan is an Australian actor and comedian known for his work in television, film, and theatre, particularly in character and comic roles.
  • D. Brian Soko
    Brian Soko is a Grammy-winning songwriter and producer best known for co-writing Beyoncé and Jay-Z’s hit song "Drunk in Love."
  • E. Matthew Rundell
    Matthew Rundell is a film editor known for his work on the action drama movie "Mercury Plains."
  • 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: John Leckie
Triple: [The Bends, producer, John Leckie]
Generated description
John Leckie is a renowned English record producer and engineer known for his influential work with artists such as Radiohead, The Stone Roses, and Muse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Leckie
Target entity description: John Leckie is a renowned English record producer and engineer known for his influential work with artists such as Radiohead, The Stone Roses, and Muse.
  • A. Shaun Parkes
    Shaun Parkes is a British actor known for his versatile performances in film, television, and theatre, including prominent roles in series such as "Casanova," "Doctor Who," and "Small Axe."
  • B. Ian Mackley
    Ian Mackley is the husband of British comedian and television personality Julian Clary.
  • C. Darren Gilshenan
    Darren Gilshenan is an Australian actor and comedian known for his work in television, film, and theatre, particularly in character and comic roles.
  • D. Brian Soko
    Brian Soko is a Grammy-winning songwriter and producer best known for co-writing Beyoncé and Jay-Z’s hit song "Drunk in Love."
  • E. Matthew Rundell
    Matthew Rundell is a film editor known for his work on the action drama movie "Mercury Plains."
  • 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_69ca842d8ee88190aaaa639aa953185d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50aa3d008190836d0fde840da7d2 completed April 1, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f4229c988190be23ccfae8b350ec completed April 4, 2026, 11:21 a.m.
NEDg Description generation batch_69d0f4bf7da08190bc8a41090f2c0f1d completed April 4, 2026, 11:23 a.m.
NED2 Entity disambiguation (via description) batch_69d0f67de15081908c0ab98bc143fd7d completed April 4, 2026, 11:31 a.m.
Created at: March 30, 2026, 7:43 p.m.