Triple
T26644409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu Abd Allah |
E668865
|
entity |
| Predicate | associatedPersonMadhhab |
P74414
|
FINISHED |
| Object | Hanbali |
—
|
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: Hanbali | Statement: [Abu Abd Allah, associatedPersonMadhhab, Hanbali]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedPersonMadhhab Context triple: [Abu Abd Allah, associatedPersonMadhhab, Hanbali]
-
A.
associatedPersonRelationToMuhammad
Indicates the specific type of relationship or connection a person has to Muhammad.
-
B.
religiousAuthorityLinkedTo
Indicates that one entity holds, shares, or is connected to a position of religious authority or institutional power in relation to another entity.
-
C.
associatedWithImamNumber
Indicates a relationship where an entity is linked to, or identified by, a specific numbered Imam in a sequence of Imams.
-
D.
associatedReligiousFamily
Indicates a relationship where an entity is linked or connected to a particular religious family or tradition.
-
E.
associatedSchoolOfReligion
chosen
Indicates that an entity is connected with or belongs to a particular school or tradition within a religion.
- 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_69ee9d00eb5481908d6c6d0ada2f0c9a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69ff56ef0a5c8190ae729d66a8cf7fc4 |
completed | May 9, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ff539859c481909ec56310da418688 |
completed | May 9, 2026, 3:32 p.m. |
Created at: April 27, 2026, 2:30 a.m.