Triple
T10932397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macdonald Purnell |
E258239
|
entity |
| Predicate | workPublishedGenre |
P26454
|
FINISHED |
| Object | political autobiography |
—
|
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: political autobiography | Statement: [Macdonald Purnell, workPublishedGenre, political autobiography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workPublishedGenre Context triple: [Macdonald Purnell, workPublishedGenre, political autobiography]
-
A.
publishedGenre
chosen
Indicates that an entity has been published in, or is associated with, a particular genre.
-
B.
workPublishedBy
Indicates that a work (such as a book, article, or other creation) has been issued or made publicly available by a particular publisher or publishing entity.
-
C.
genreOfWorkEdited
Indicates that an entity has served as an editor for a work belonging to a specified genre.
-
D.
genreOfProducedWorks
Indicates that one entity is the genre category to which the works produced by another entity belong.
-
E.
notableWorkGenre
Indicates that a particular work is recognized as notable for an entity and specifies the genre to which that work belongs.
- F. None of above.
Provenance (3 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770a16cbc8190acd619defed7114c |
completed | April 9, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69d72e799f808190b6ab64fc7586a303 |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:23 p.m.