Triple
T30818367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | محمد بن يوسف الفربري |
E784846
|
entity |
| Predicate | narratedWork |
P71455
|
FINISHED |
| Object | الجامع الصحيح للبخاري |
—
|
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: الجامع الصحيح للبخاري | Statement: [محمد بن يوسف الفربري, narratedWork, الجامع الصحيح للبخاري]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narratedWork Context triple: [محمد بن يوسف الفربري, narratedWork, الجامع الصحيح للبخاري]
-
A.
narratedTo
Indicates that one entity tells or recounts a story, event, or information directly to another entity as the audience.
-
B.
narratedFrom
chosen
Indicates that an event, story, or account is told or described from the perspective or vantage point of a particular source or narrator.
-
C.
narratesWith
Indicates that one entity tells, recounts, or presents a story, event, or information in conjunction with or alongside another entity.
-
D.
hasDramatizationOf
Indicates that one work or performance is a dramatized adaptation or representation of another source work or event.
-
E.
hasNarration
Indicates that an entity provides spoken or written commentary or storytelling for another entity, such as a work, event, or scene.
- 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_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
Created at: April 29, 2026, 8:44 p.m.