Triple
T25772454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bidayat al-Mubtadi |
E649058
|
entity |
| Predicate | authorSchool |
P108926
|
FINISHED |
| Object | Hanafi |
—
|
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: Hanafi | Statement: [Bidayat al-Mubtadi, authorSchool, Hanafi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorSchool Context triple: [Bidayat al-Mubtadi, authorSchool, Hanafi]
-
A.
academicAdvisorOfAuthor
Indicates that one person serves as the academic advisor or mentor responsible for guiding the author in their scholarly or research activities.
-
B.
authorType
Indicates the specific role or category of authorship associated with an entity, such as primary author, co-author, or editor.
-
C.
subjectAffiliation
Indicates that a subject is formally associated or connected with a particular organization, group, or institution.
-
D.
academicFieldOfAuthor
Indicates the academic discipline or field in which an author conducts their scholarly work or produces publications.
-
E.
schoolOf
chosen
Indicates that an educational institution is the one where a person studied, worked, or is otherwise academically affiliated.
- 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_69e7ab333b508190b6d708d8d9a328ed |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6640168948190811bd5f933a87cf5 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 22, 2026, 5:31 a.m.