Triple
T10469353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Absolutely Fabulous |
E246883
|
entity |
| Predicate | PatsyStoneOccupation |
P94198
|
FINISHED |
| Object | fashion magazine editor |
—
|
LITERAL FINISHED |
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: fashion magazine editor | Statement: [Absolutely Fabulous, PatsyStoneOccupation, fashion magazine editor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PatsyStoneOccupation Context triple: [Absolutely Fabulous, PatsyStoneOccupation, fashion magazine editor]
-
A.
patronOccupation
Indicates that one entity serves as the occupation or professional role held by a patron entity.
-
B.
roleOfPatriceWilson
Indicates that Patrice Wilson serves in a particular role or capacity in relation to another entity.
-
C.
sonOccupation
Indicates that a specified occupation is the job or professional role held by a person's son.
-
D.
roleOfPaula
Indicates that Paula holds or performs a specific role or function in relation to another entity or context.
-
E.
presenterOccupation
Indicates that an entity serves in a specific professional role or job as a presenter.
- F. None of above. chosen
Provenance (4 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092fa6048190b26d481ddc3e3ec2 |
completed | April 7, 2026, 1:39 p.m. |
| PD | Predicate disambiguation | batch_69d4fb84bafc8190819757b93620508a |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe058fcc81909428137d9ffd6d90 |
completed | April 7, 2026, 12:52 p.m. |
Created at: April 6, 2026, 12:20 p.m.