Triple

T5509848
Position Surface form Disambiguated ID Type / Status
Subject Donald Pleasence E144534 entity
Predicate spouse P13 FINISHED
Object Linda Kentwood
Linda Kentwood is known primarily for being married to the English actor Donald Pleasence, famed for his roles in film and theatre.
 E538696 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: Linda Kentwood | Statement: [Donald Pleasence, spouse, Linda Kentwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Linda Kentwood
Context triple: [Donald Pleasence, spouse, Linda Kentwood]
  • A. Linda Gunderson
    Linda Gunderson is a kind-hearted Minnesota bookshop owner who becomes the human protagonist and caretaker of the rare macaw Blu in the animated film "Rio."
  • B. Linda Banwell
    Linda Banwell is best known as the wife of the late English actor and director Bob Hoskins.
  • C. Beverly Van Zile
    Beverly Van Zile is best known as the second wife of Apollo 11 astronaut Buzz Aldrin.
  • D. Carole Winter
    Carole Winter is a British television and film producer best known as one of the founding partners of the production company Neal Street Productions.
  • E. Judy Nye
    Judy Nye is known primarily for being the first wife of American media mogul and CNN founder Ted Turner.
  • 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: Linda Kentwood
Triple: [Donald Pleasence, spouse, Linda Kentwood]
Generated description
Linda Kentwood is known primarily for being married to the English actor Donald Pleasence, famed for his roles in film and theatre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Linda Kentwood
Target entity description: Linda Kentwood is known primarily for being married to the English actor Donald Pleasence, famed for his roles in film and theatre.
  • A. Linda Gunderson
    Linda Gunderson is a kind-hearted Minnesota bookshop owner who becomes the human protagonist and caretaker of the rare macaw Blu in the animated film "Rio."
  • B. Linda Banwell
    Linda Banwell is best known as the wife of the late English actor and director Bob Hoskins.
  • C. Beverly Van Zile
    Beverly Van Zile is best known as the second wife of Apollo 11 astronaut Buzz Aldrin.
  • D. Carole Winter
    Carole Winter is a British television and film producer best known as one of the founding partners of the production company Neal Street Productions.
  • E. Judy Nye
    Judy Nye is known primarily for being the first wife of American media mogul and CNN founder Ted Turner.
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f4ba90c8190ad22e5de84c545f9 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04cbaca1c8190a7f6d4001f43749c completed March 22, 2026, 8:10 p.m.
NEDg Description generation batch_69c056a981f881908663c315fe2db829 completed March 22, 2026, 8:52 p.m.
NED2 Entity disambiguation (via description) batch_69c0573ca734819098de3376ff93c309 completed March 22, 2026, 8:55 p.m.
Created at: March 22, 2026, 3:33 p.m.