Triple

T18995542
Position Surface form Disambiguated ID Type / Status
Subject Val Guest E464798 entity
Predicate spouse P13 FINISHED
Object Yolande Donlan
Yolande Donlan was an American-born British actress known for her work in mid-20th-century British cinema and theatre.
 E1380436 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: Yolande Donlan | Statement: [Val Guest, spouse, Yolande Donlan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yolande Donlan
Context triple: [Val Guest, spouse, Yolande Donlan]
  • A. Patricia Laffan
    Patricia Laffan was a British actress best known for her roles in mid-20th-century films, including notable performances in historical epics and science fiction cinema.
  • B. Donna Molloy
    Donna Molloy is a film and television producer known for her work on the project "Care."
  • C. Eileen Connolly
    Eileen Connolly is a prominent author and teacher in the field of tarot and esoteric studies, known for her influential books on divination and metaphysics.
  • D. Antoinette O’Reilly
    Antoinette O’Reilly is best known as the former wife of former Major League Baseball pitcher and current broadcaster Ron Darling.
  • E. Donna Meagle
    Donna Meagle is a confident, luxury-loving office administrator in the comedy series "Parks and Recreation," known for her sharp wit, "treat yo' self" mantra, and no-nonsense attitude.
  • 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: Yolande Donlan
Triple: [Val Guest, spouse, Yolande Donlan]
Generated description
Yolande Donlan was an American-born British actress known for her work in mid-20th-century British cinema and theatre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yolande Donlan
Target entity description: Yolande Donlan was an American-born British actress known for her work in mid-20th-century British cinema and theatre.
  • A. Patricia Laffan
    Patricia Laffan was a British actress best known for her roles in mid-20th-century films, including notable performances in historical epics and science fiction cinema.
  • B. Donna Molloy
    Donna Molloy is a film and television producer known for her work on the project "Care."
  • C. Eileen Connolly
    Eileen Connolly is a prominent author and teacher in the field of tarot and esoteric studies, known for her influential books on divination and metaphysics.
  • D. Antoinette O’Reilly
    Antoinette O’Reilly is best known as the former wife of former Major League Baseball pitcher and current broadcaster Ron Darling.
  • E. Donna Meagle
    Donna Meagle is a confident, luxury-loving office administrator in the comedy series "Parks and Recreation," known for her sharp wit, "treat yo' self" mantra, and no-nonsense attitude.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6819f8c81908bbf0448baf7e34b completed April 20, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a07470611cc81909f603f6a614abd5f completed May 15, 2026, 4:17 p.m.
NEDg Description generation batch_6a0748b9241881909809e707307d8f2c completed May 15, 2026, 4:24 p.m.
NED2 Entity disambiguation (via description) batch_6a0749543ffc8190bc987fe15cca8a4c completed May 15, 2026, 4:27 p.m.
Created at: April 10, 2026, 12:01 p.m.