Triple

T20200951
Position Surface form Disambiguated ID Type / Status
Subject Woman in Chains E493215 entity
Predicate producer P490 FINISHED
Object Dave Bascombe
Dave Bascombe is a British record producer and mixing engineer known for his work with prominent rock and pop artists, including Tears for Fears.
 E1425271 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: Dave Bascombe | Statement: [Woman in Chains, producer, Dave Bascombe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dave Bascombe
Context triple: [Woman in Chains, producer, Dave Bascombe]
  • A. Ted Bessell
    Ted Bessell was an American television and film actor best known for co-starring as Donald Hollinger on the 1960s sitcom "That Girl."
  • B. Ed Drewett
    Ed Drewett is a British singer-songwriter best known for co-writing major pop hits for artists such as One Direction, Little Mix, and The Wanted.
  • C. David Baulcombe
    David Baulcombe is a British plant scientist renowned for his pioneering work on RNA silencing and gene regulation in plants.
  • D. Edward Bass
    Edward Bass is a film producer known for his work on independent movies such as the dark comedy "Mini's First Time."
  • E. Edward Bass
    Edward Bass is an American businessman and philanthropist best known for financing large-scale environmental and scientific projects, including the Biosphere 2 research facility.
  • 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: Dave Bascombe
Triple: [Woman in Chains, producer, Dave Bascombe]
Generated description
Dave Bascombe is a British record producer and mixing engineer known for his work with prominent rock and pop artists, including Tears for Fears.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dave Bascombe
Target entity description: Dave Bascombe is a British record producer and mixing engineer known for his work with prominent rock and pop artists, including Tears for Fears.
  • A. Ted Bessell
    Ted Bessell was an American television and film actor best known for co-starring as Donald Hollinger on the 1960s sitcom "That Girl."
  • B. Ed Drewett
    Ed Drewett is a British singer-songwriter best known for co-writing major pop hits for artists such as One Direction, Little Mix, and The Wanted.
  • C. David Baulcombe
    David Baulcombe is a British plant scientist renowned for his pioneering work on RNA silencing and gene regulation in plants.
  • D. Edward Bass
    Edward Bass is an American businessman and philanthropist best known for financing large-scale environmental and scientific projects, including the Biosphere 2 research facility.
  • E. Edward Bass
    Edward Bass is a film producer known for his work on independent movies such as the dark comedy "Mini's First Time."
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d8d01648190b1b3a6e03f0258d8 completed April 20, 2026, 6:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0869412e4c81908af0f72303321da5 completed May 16, 2026, 12:55 p.m.
NEDg Description generation batch_6a0869e2a80481909105005195330dc9 completed May 16, 2026, 12:58 p.m.
NED2 Entity disambiguation (via description) batch_6a086a6812a08190b4594fa9b6054355 completed May 16, 2026, 1 p.m.
Created at: April 11, 2026, 11:37 p.m.