Triple

T14239954
Position Surface form Disambiguated ID Type / Status
Subject Last Tango in Halifax E352978 entity
Predicate producer P490 FINISHED
Object Karen Lewis
Karen Lewis is a British television producer best known for her work on acclaimed drama series such as "Last Tango in Halifax."
E1125106 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: Karen Lewis | Statement: [Last Tango in Halifax, producer, Karen Lewis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karen Lewis
Context triple: [Last Tango in Halifax, producer, Karen Lewis]
  • A. Karen Lewis
    Karen Lewis is a television producer known for her work on the British drama series "Years and Years."
  • B. Karen Lewis
    Karen Lewis is a film and television producer known for her work on the project "Exile."
  • C. Cathy Lewis
    Cathy Lewis was an American radio and television actress best known for her work on classic radio comedies such as "My Friend Irma."
  • D. Susie Lewis
    Susie Lewis is an animator and producer best known for her work on the MTV animated series "Daria."
  • E. Diana Lewis
    Diana Lewis was an American film actress best known for her work in the late 1930s and 1940s and for being married to actor William Powell.
  • 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: Karen Lewis
Triple: [Last Tango in Halifax, producer, Karen Lewis]
Generated description
Karen Lewis is a British television producer best known for her work on acclaimed drama series such as "Last Tango in Halifax."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Karen Lewis
Target entity description: Karen Lewis is a British television producer best known for her work on acclaimed drama series such as "Last Tango in Halifax."
  • A. Karen Lewis
    Karen Lewis is a television producer known for her work on the British drama series "Years and Years."
  • B. Karen Lewis
    Karen Lewis is a film and television producer known for her work on the project "Exile."
  • C. Cathy Lewis
    Cathy Lewis was an American radio and television actress best known for her work on classic radio comedies such as "My Friend Irma."
  • D. Susie Lewis
    Susie Lewis is an animator and producer best known for her work on the MTV animated series "Daria."
  • E. Diana Lewis
    Diana Lewis was an American film actress best known for her work in the late 1930s and 1940s and for being married to actor William Powell.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de62432fb48190b153805b85c4f2d2 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b3a76ac819088587b9fa560b6dc completed May 8, 2026, 11:01 p.m.
NEDg Description generation batch_69fe6df63b78819087d6c709db1ce889 completed May 8, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_69fe6e32f7a0819086ca1303024c6db9 completed May 8, 2026, 11:13 p.m.
Created at: April 10, 2026, 1:08 a.m.