Triple
T4334145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grayson Perry |
E97422
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Philippa Perry
Philippa Perry is a British psychotherapist and author known for her accessible books and media work on psychology, relationships, and mental health.
|
E440814
|
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: Philippa Perry | Statement: [Grayson Perry, spouse, Philippa Perry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philippa Perry Context triple: [Grayson Perry, spouse, Philippa Perry]
-
A.
Philippa Giles
Philippa Giles is a British television producer best known for her work on acclaimed drama series such as Luther.
-
B.
Philippa Braithwaite
Philippa Braithwaite is a British television producer known for her work on series such as "Doc Martin" and for being married to actor Martin Clunes.
-
C.
Jennifer Mordaunt
Jennifer Mordaunt is a relative of British Conservative politician Penny Mordaunt.
-
D.
Philippa Cobb
Philippa Cobb is the young daughter of Dom Cobb in the film "Inception."
-
E.
Katherine Wilkinson
Katherine Wilkinson is a climate strategist, author, and speaker known for her work on solutions-focused climate communication and leadership, including co-editing the influential book "All We Can Save."
- 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: Philippa Perry Triple: [Grayson Perry, spouse, Philippa Perry]
Generated description
Philippa Perry is a British psychotherapist and author known for her accessible books and media work on psychology, relationships, and mental health.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Philippa Perry Target entity description: Philippa Perry is a British psychotherapist and author known for her accessible books and media work on psychology, relationships, and mental health.
-
A.
Philippa Giles
Philippa Giles is a British television producer best known for her work on acclaimed drama series such as Luther.
-
B.
Philippa Braithwaite
Philippa Braithwaite is a British television producer known for her work on series such as "Doc Martin" and for being married to actor Martin Clunes.
-
C.
Jennifer Mordaunt
Jennifer Mordaunt is a relative of British Conservative politician Penny Mordaunt.
-
D.
Philippa Cobb
Philippa Cobb is the young daughter of Dom Cobb in the film "Inception."
-
E.
Katherine Wilkinson
Katherine Wilkinson is a climate strategist, author, and speaker known for her work on solutions-focused climate communication and leadership, including co-editing the influential book "All We Can Save."
- 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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351516d488190b5b3d1936e3a325d |
completed | March 12, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6134ca4f88190a2aa34bf39d71ac6 |
completed | March 15, 2026, 2:02 a.m. |
| NEDg | Description generation | batch_69b617c13d4481909d22d201ce405d3a |
completed | March 15, 2026, 2:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b6187687f8819084e2d611e9e31f79 |
completed | March 15, 2026, 2:24 a.m. |
Created at: March 12, 2026, 11:13 p.m.