Triple
T26098690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | al-Juwayni's al-Burhan fi Usul al-Fiqh |
E658342
|
entity |
| Predicate | authorOfSchool |
P169540
|
FINISHED |
| Object | Shafi'i school of law |
—
|
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: Shafi'i school of law | Statement: [al-Juwayni's al-Burhan fi Usul al-Fiqh, authorOfSchool, Shafi'i school of law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorOfSchool Context triple: [al-Juwayni's al-Burhan fi Usul al-Fiqh, authorOfSchool, Shafi'i school of law]
-
A.
authorType
Indicates the specific role or category of authorship associated with an entity, such as primary author, co-author, or editor.
-
B.
academicAdvisorOfAuthor
Indicates that one person serves as the academic advisor or mentor responsible for guiding the author in their scholarly or research activities.
-
C.
headOfSchool
Indicates that one entity serves as the principal leader or top administrator in charge of a school.
-
D.
authorOfParentWork
Indicates that one entity is the author of a work that serves as the parent or source for another related work.
-
E.
schoolOf
Indicates that an educational institution is the one where a person studied, worked, or is otherwise academically affiliated.
- F. None of above. chosen
Provenance (4 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_69ee5bc09c288190bc42a11972841383 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f67fc237608190b6542b56038a7fe4 |
completed | May 2, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f0353c88190a05b2db449abe0f4 |
completed | May 2, 2026, 10:47 p.m. |
Created at: April 26, 2026, 7:53 p.m.