Triple
T17682888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippa Perry |
E440814
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Philippa Perry |
—
|
NE NERFINISHED |
How this triple was built (2 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: [Philippa Perry, name, Philippa Perry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philippa Perry Context triple: [Philippa Perry, name, Philippa Perry]
-
A.
Philippa Perry
chosen
Philippa Perry is a British psychotherapist and author known for her accessible books and media work on psychology, relationships, and mental health.
-
B.
Philippa Giles
Philippa Giles is a British television producer best known for her work on acclaimed drama series such as Luther.
-
C.
Philippa Price
Philippa Price is a British visual artist and director known for her surreal, high-concept music videos and fashion films for major pop and R&B artists.
-
D.
Philippa Goslett
Philippa Goslett is a British screenwriter and producer known for her work on films such as the biblical drama "Mary Magdalene" (2018).
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4704514d481908aad4172fa930e6b |
completed | April 19, 2026, 6:03 a.m. |
Created at: April 10, 2026, 10:02 a.m.