Triple
T35775085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Preston |
E1034268
|
entity |
| Predicate | roleAtPublons |
P38510
|
FINISHED |
| Object | co-founder |
—
|
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: co-founder | Statement: [Andrew Preston, roleAtPublons, co-founder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtPublons Context triple: [Andrew Preston, roleAtPublons, co-founder]
-
A.
citationNetworkRole
Indicates the specific function or position an entity holds within a network of citations, such as how it contributes to or is characterized in the structure of citation relationships.
-
B.
roleInScholarlyCommunication
Indicates the function or position an entity holds within the processes of producing, evaluating, disseminating, or preserving scholarly work.
-
C.
roleAtInstitution
chosen
Indicates that an entity holds or has held a specific role or position within a particular institution.
-
D.
hasCitationRole
Indicates that an entity participates in a citation with a specific role or function (such as being the citing work, cited work, or contextual reference).
-
E.
editorialBoardMemberOf
Indicates that a person serves as a member of the editorial board of a particular publication or organization.
- 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_69f76e14a1e081908eddd57bd6fdb3be |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:06 p.m.