Triple
T24741655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu Salih al-Samman |
E618577
|
entity |
| Predicate | roleInIsnad |
P80002
|
FINISHED |
| Object | middle link between Companions and later scholars |
—
|
LITERAL FINISHED |
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: middle link between Companions and later scholars | Statement: [Abu Salih al-Samman, roleInIsnad, middle link between Companions and later scholars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInIsnad Context triple: [Abu Salih al-Samman, roleInIsnad, middle link between Companions and later scholars]
-
A.
roleInHadith
chosen
Indicates the specific function, position, or participation an entity has within the context or transmission of a hadith.
-
B.
roleInIslamicHistory
Indicates the specific function, status, or contribution an entity has within the context of Islamic historical events, periods, or developments.
-
C.
roleInMetadata
Indicates that an entity serves a specific function or position within a metadata record or metadata structure.
-
D.
notableAuthorRole
Indicates that an entity holds a significant or distinguished role as an author in relation to another entity.
-
E.
citationNetworkRole
Indicates the specific function or position an entity holds within a network of citations, such as how it contributes to or is characterized in the structure of citation relationships.
- 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_69e2fab8f95c81908bb9e552cf3280c2 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d6ef33081908f5d36ba1ae5f473 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 4:16 a.m.