Triple
T25135889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | al-Waqidi |
E629655
|
entity |
| Predicate | reputationInHadithCriticism |
P154556
|
FINISHED |
| Object | weak narrator |
—
|
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: weak narrator | Statement: [al-Waqidi, reputationInHadithCriticism, weak narrator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reputationInHadithCriticism Context triple: [al-Waqidi, reputationInHadithCriticism, weak narrator]
-
A.
hasHadithMerit
Indicates that there exists supporting or relevant hadith evidence conferring merit, validation, or special status upon the associated entity or action.
-
B.
statusInHadith
Indicates the classification or standing of a hadith (such as authentic, weak, or fabricated) within hadith scholarship.
-
C.
statusInHadithScience
chosen
Indicates the evaluative standing or classification an entity holds within the methodological framework of hadith scholarship and criticism.
-
D.
roleInHadith
Indicates the specific function, position, or participation an entity has within the context or transmission of a hadith.
-
E.
hadithStatus
Indicates the classification or evaluation of a hadith’s authenticity or reliability within a given scholarly or doctrinal framework.
- 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_69e2ff338250819096ff6c8892804389 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f465ff8c1881909f42c293b0da9804 |
completed | May 1, 2026, 8:36 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:29 a.m.