Triple
T24368285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | al-Tajrid |
E614260
|
entity |
| Predicate | fullNameOfAuthor |
P41370
|
FINISHED |
| Object | Ahmad ibn Muhammad al-Quduri |
—
|
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: Ahmad ibn Muhammad al-Quduri | Statement: [al-Tajrid, fullNameOfAuthor, Ahmad ibn Muhammad al-Quduri]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fullNameOfAuthor Context triple: [al-Tajrid, fullNameOfAuthor, Ahmad ibn Muhammad al-Quduri]
-
A.
authorName
Indicates the name associated with the person or entity that authored a given work or resource.
-
B.
authorOfNamesFor
Indicates that one entity is the creator or originator of the names assigned to another entity or set of entities.
-
C.
authorTitle
Indicates that a person is the creator or writer of a work that bears the specified title.
-
D.
creatorFullName
chosen
Indicates the full personal name of the entity that created or authored another entity.
-
E.
hasAuthorGivenNames
Indicates that an entity is associated with the given (first and middle) name or names of its author.
- 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_69e2d7e1e010819098b95eb3f905943d |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2938994c081909730d1e02e823dfd |
completed | April 29, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:01 a.m.