Triple

T14329712
Position Surface form Disambiguated ID Type / Status
Subject Cuckoo E355312 entity
Predicate stars P1956 FINISHED
Object Helen Baxendale
Helen Baxendale is a British actress best known for her roles in the TV series "Cold Feet," "Friends," and various other film and television dramas.
 E1119772 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: Helen Baxendale | Statement: [Cuckoo, stars, Helen Baxendale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Helen Baxendale
Context triple: [Cuckoo, stars, Helen Baxendale]
  • A. Betsy Aidem
    Betsy Aidem is an American actress known for her work in film, television, and theater.
  • B. Lesley Garrett
    Lesley Garrett is an English soprano and media personality known for her operatic performances and popular classical crossover work.
  • C. Sheila Hancock
    Sheila Hancock is a British actress and author renowned for her extensive work in theatre, television, and film, as well as her appearances as a television presenter and panelist.
  • D. Marti Webb
    Marti Webb is an English singer and musical theatre actress best known for her work in West End productions and her hit performance in the song cycle "Tell Me on a Sunday."
  • E. Helen Gibson
    Helen Gibson was a pioneering American silent film actress and stunt performer, best known as one of early cinema’s first professional stuntwomen.
  • 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: Helen Baxendale
Triple: [Cuckoo, stars, Helen Baxendale]
Generated description
Helen Baxendale is a British actress best known for her roles in the TV series "Cold Feet," "Friends," and various other film and television dramas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Helen Baxendale
Target entity description: Helen Baxendale is a British actress best known for her roles in the TV series "Cold Feet," "Friends," and various other film and television dramas.
  • A. Betsy Aidem
    Betsy Aidem is an American actress known for her work in film, television, and theater.
  • B. Lesley Garrett
    Lesley Garrett is an English soprano and media personality known for her operatic performances and popular classical crossover work.
  • C. Sheila Hancock
    Sheila Hancock is a British actress and author renowned for her extensive work in theatre, television, and film, as well as her appearances as a television presenter and panelist.
  • D. Marti Webb
    Marti Webb is an English singer and musical theatre actress best known for her work in West End productions and her hit performance in the song cycle "Tell Me on a Sunday."
  • E. Helen Gibson
    Helen Gibson was a pioneering American silent film actress and stunt performer, best known as one of early cinema’s first professional stuntwomen.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8c1def0081908f03cda8e84d20c0 completed April 14, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe249ebd3c81908d8b562845d9ceb1 completed May 8, 2026, 5:59 p.m.
NEDg Description generation batch_69fe26132f888190b81d072536263a8e completed May 8, 2026, 6:06 p.m.
NED2 Entity disambiguation (via description) batch_69fe266d51608190abde582627a0917b completed May 8, 2026, 6:07 p.m.
Created at: April 10, 2026, 1:13 a.m.