Triple

T14520917
Position Surface form Disambiguated ID Type / Status
Subject Haynes E340647 entity
Predicate hasNotableBearer P458 FINISHED
Object Debbie Haynes
Debbie Haynes is a person notable enough to be specifically cited as a bearer of the surname Haynes.
 E1105626 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: Debbie Haynes | Statement: [Haynes, hasNotableBearer, Debbie Haynes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Debbie Haynes
Context triple: [Haynes, hasNotableBearer, Debbie Haynes]
  • A. Debbie Honeywood
    Debbie Honeywood is a British actress best known for her lead role in Ken Loach’s social-realist drama film "Sorry We Missed You."
  • B. Debbie Horsfield
    Debbie Horsfield is a British television writer and producer best known for creating and adapting popular drama series, including the acclaimed BBC adaptation of "Poldark."
  • C. Debbie Forsyth
    Debbie Forsyth is a child of the late British television entertainer and game show host Bruce Forsyth.
  • D. Debbie Sanderson
    Debbie Sanderson is a fictional character from the television comedy series "The Grinder."
  • E. Deborah Watling
    Deborah Watling was an English actress best known for playing the companion Victoria Waterfield in the classic Doctor Who television series.
  • 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: Debbie Haynes
Triple: [Haynes, hasNotableBearer, Debbie Haynes]
Generated description
Debbie Haynes is a person notable enough to be specifically cited as a bearer of the surname Haynes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Debbie Haynes
Target entity description: Debbie Haynes is a person notable enough to be specifically cited as a bearer of the surname Haynes.
  • A. Debbie Honeywood
    Debbie Honeywood is a British actress best known for her lead role in Ken Loach’s social-realist drama film "Sorry We Missed You."
  • B. Debbie Horsfield
    Debbie Horsfield is a British television writer and producer best known for creating and adapting popular drama series, including the acclaimed BBC adaptation of "Poldark."
  • C. Debbie Forsyth
    Debbie Forsyth is a child of the late British television entertainer and game show host Bruce Forsyth.
  • D. Debbie Sanderson
    Debbie Sanderson is a fictional character from the television comedy series "The Grinder."
  • E. Deborah Watling
    Deborah Watling was an English actress best known for playing the companion Victoria Waterfield in the classic Doctor Who television series.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a72cff08190878b4bed9b0b5eb5 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ab07e08819085a6a21cc9cea1fa completed May 8, 2026, 7:03 a.m.
NEDg Description generation batch_69fd8c1a07008190ab67087f04bc90db completed May 8, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_69fd8cca08288190a1d3fe200d0efa44 completed May 8, 2026, 7:12 a.m.
Created at: April 10, 2026, 1:22 a.m.