Triple
T31951593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ʿAmr ibn Taghlib |
E815793
|
entity |
| Predicate | hadithEvaluation |
P27934
|
FINISHED |
| Object | reliable |
—
|
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: reliable | Statement: [ʿAmr ibn Taghlib, hadithEvaluation, reliable]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadithEvaluation Context triple: [ʿAmr ibn Taghlib, hadithEvaluation, reliable]
-
A.
hadithStatus
chosen
Indicates the classification or evaluation of a hadith’s authenticity or reliability within a given scholarly or doctrinal framework.
-
B.
hadithMethod
Indicates the method, chain, or approach by which a hadith is transmitted, recorded, or authenticated in relation to another entity.
-
C.
statusInHadith
Indicates the classification or standing of a hadith (such as authentic, weak, or fabricated) within hadith scholarship.
-
D.
hasHadithMerit
Indicates that there exists supporting or relevant hadith evidence conferring merit, validation, or special status upon the associated entity or action.
-
E.
hadithCollections
Indicates a relationship where one entity is a collection that contains, organizes, or compiles hadiths (reports of the sayings, actions, or approvals of the Prophet).
- 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_69f348f42d188190a33fc8d20ec50517 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 12:07 a.m.