Triple

T14171222
Position Surface form Disambiguated ID Type / Status
Subject John Loder E351210 entity
Predicate spouse P13 FINISHED
Object Frances Wetherall
Frances Wetherall is best known as the wife of British actor and producer John Loder.
E1176936 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: Frances Wetherall | Statement: [John Loder, spouse, Frances Wetherall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frances Wetherall
Context triple: [John Loder, spouse, Frances Wetherall]
  • A. Katharine Woolley
    Katharine Woolley was a British archaeological assistant and illustrator best known for her work alongside her husband Sir Leonard Woolley on the excavations at Ur in Mesopotamia.
  • B. Frances Wolfe
    Frances Wolfe was the wife of American actor, director, and producer Sheldon Leonard.
  • C. Carol Wetherly
    Carol Wetherly is the protagonist of the 1983 post-apocalyptic drama film "Testament," a suburban mother struggling to protect her family after a nuclear attack.
  • D. June Flewett
    June Flewett, better known by her stage name Jill Freud, was a British actress and theatre director associated with the Old Vic and later with regional theatre in East Anglia.
  • E. Marjorie Wren
    Marjorie Wren was the second wife of Scottish editor and military officer Hugh Alexander Pollock, known primarily through her marriage to him.
  • 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: Frances Wetherall
Triple: [John Loder, spouse, Frances Wetherall]
Generated description
Frances Wetherall is best known as the wife of British actor and producer John Loder.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Frances Wetherall
Target entity description: Frances Wetherall is best known as the wife of British actor and producer John Loder.
  • A. Katharine Woolley
    Katharine Woolley was a British archaeological assistant and illustrator best known for her work alongside her husband Sir Leonard Woolley on the excavations at Ur in Mesopotamia.
  • B. Frances Wolfe
    Frances Wolfe was the wife of American actor, director, and producer Sheldon Leonard.
  • C. Carol Wetherly
    Carol Wetherly is the protagonist of the 1983 post-apocalyptic drama film "Testament," a suburban mother struggling to protect her family after a nuclear attack.
  • D. June Flewett
    June Flewett, better known by her stage name Jill Freud, was a British actress and theatre director associated with the Old Vic and later with regional theatre in East Anglia.
  • E. Marjorie Wren
    Marjorie Wren was the second wife of Scottish editor and military officer Hugh Alexander Pollock, known primarily through her marriage to him.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b5dcbc8190b0cfcce5e6c6d582 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff90815b64819082715292f6088c74 completed May 9, 2026, 7:52 p.m.
NEDg Description generation batch_69ff93239ed881909954ccceb63f16fd completed May 9, 2026, 8:03 p.m.
NED2 Entity disambiguation (via description) batch_69ff93ed15ec8190b9361f7ad4c7e447 completed May 9, 2026, 8:07 p.m.
Created at: April 10, 2026, 1:01 a.m.