Triple
T20145825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Civic Choice |
E491299
|
entity |
| Predicate | associatedWithProfessionOfFounder |
P97851
|
FINISHED |
| Object | economist |
—
|
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: economist | Statement: [Civic Choice, associatedWithProfessionOfFounder, economist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithProfessionOfFounder Context triple: [Civic Choice, associatedWithProfessionOfFounder, economist]
-
A.
associatedProfessionOfFounder
chosen
Indicates the professional field or occupation linked to the founder of an entity.
-
B.
associatedWorkOfFounder
Indicates a relationship where a work (such as a publication, project, or creation) is linked to the person who founded or established it.
-
C.
workIncludesRoleOfFounder
Indicates that a work involves or credits an entity in the specific role of founder.
-
D.
hasCoFounderRoleOf
Indicates that one entity holds the role or position of co-founder in relation to another entity, such as an organization or venture.
-
E.
associatedInstitutionFounder
Indicates that an entity is the founder or co-founder of a particular institution with which they are associated.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679e43a48190b3a5da5710b07ff7 |
completed | April 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69e54cfb0d0081908e789b9b57e96668 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:33 p.m.