Triple

T15567032
Position Surface form Disambiguated ID Type / Status
Subject The Wrong Mans E371142 entity
Predicate creator P184 FINISHED
Object Tom Basden
Tom Basden is a British comedian, writer, and actor known for his work in television, radio, and live comedy, often blending sharp wit with offbeat, character-driven humor.
 E1165457 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: Tom Basden | Statement: [The Wrong Mans, creator, Tom Basden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tom Basden
Context triple: [The Wrong Mans, creator, Tom Basden]
  • 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. David Bass
    David Bass is a person known primarily as the sibling of Richard Bass.
  • C. Tom Bateman
    Tom Bateman is a British actor known for his work in film, television, and theatre, including prominent roles in period dramas and crime mysteries.
  • 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
  • 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: Tom Basden
Triple: [The Wrong Mans, creator, Tom Basden]
Generated description
Tom Basden is a British comedian, writer, and actor known for his work in television, radio, and live comedy, often blending sharp wit with offbeat, character-driven humor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tom Basden
Target entity description: Tom Basden is a British comedian, writer, and actor known for his work in television, radio, and live comedy, often blending sharp wit with offbeat, character-driven humor.
  • 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. David Bass
    David Bass is a person known primarily as the sibling of Richard Bass.
  • C. Tom Bateman
    Tom Bateman is a British actor known for his work in film, television, and theatre, including prominent roles in period dramas and crime mysteries.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dde90b081908284d9258d4462e3 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4219a081909acca9f783ecd44b completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff50d54960819089491ccb580784b8 completed May 9, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69ff5208e9a08190b4a6f4157cf3c237 completed May 9, 2026, 3:26 p.m.
Created at: April 10, 2026, 4:10 a.m.