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.