Triple
T30710162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How to Stop Brexit (And Make Britain Great Again) |
E781868
|
entity |
| Predicate | hasAuthorRoleInTopic |
P56172
|
FINISHED |
| Object | Nick Clegg was a prominent Remain campaigner |
—
|
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: Nick Clegg was a prominent Remain campaigner | Statement: [How to Stop Brexit (And Make Britain Great Again), hasAuthorRoleInTopic, Nick Clegg was a prominent Remain campaigner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorRoleInTopic Context triple: [How to Stop Brexit (And Make Britain Great Again), hasAuthorRoleInTopic, Nick Clegg was a prominent Remain campaigner]
-
A.
hasAuthorRoleFor
Indicates that an entity serves in the role of author for another entity, such as a work, document, or publication.
-
B.
hasAuthor
Indicates that an entity is written or created by a specific author.
-
C.
hasAuthorRelationshipToSubject
Indicates that an entity serves as the author or creator of the specified subject.
-
D.
hasAuthorLaterRole
Indicates that an author of a work later took on an additional or subsequent role related to that work or its context.
-
E.
hasAuthorType
chosen
Indicates that an entity is associated with an author characterized by a specific role, category, or type.
- 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_69f224abfcf081909492e64d3cc35262 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
Created at: April 29, 2026, 8:35 p.m.