Triple
T17503285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tangle of Hopes |
E426244
|
entity |
| Predicate | authorAffiliationField |
P102843
|
FINISHED |
| Object | international relations scholarship |
—
|
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: international relations scholarship | Statement: [Tangle of Hopes, authorAffiliationField, international relations scholarship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorAffiliationField Context triple: [Tangle of Hopes, authorAffiliationField, international relations scholarship]
-
A.
subjectAffiliation
Indicates that a subject is formally associated or connected with a particular organization, group, or institution.
-
B.
academicFieldOfAuthor
chosen
Indicates the academic discipline or field in which an author conducts their scholarly work or produces publications.
-
C.
editorAffiliation
Indicates that an editor is affiliated with, or belongs to, a particular organization or institution.
-
D.
hasAuthorAffiliationAtTimeOfPublication
Indicates that an author was affiliated with a particular organization or institution at the time a work was published.
-
E.
creatorAffiliationAtIntroduction
Indicates the organizational or institutional affiliation associated with a creator at the time the creator was first introduced or presented.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45213a0e88190ac183d87ec088e86 |
completed | April 19, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f5fbcc8190a6ea9639bf5650da |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:48 a.m.