Triple
T25330088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sahnun ibn Saʿid |
E635124
|
entity |
| Predicate | influenceOnTexts |
P152735
|
FINISHED |
| Object | standardization of Maliki legal doctrine through al-Mudawwana |
—
|
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: standardization of Maliki legal doctrine through al-Mudawwana | Statement: [Sahnun ibn Saʿid, influenceOnTexts, standardization of Maliki legal doctrine through al-Mudawwana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influenceOnTexts Context triple: [Sahnun ibn Saʿid, influenceOnTexts, standardization of Maliki legal doctrine through al-Mudawwana]
-
A.
literaryInfluence
Indicates that one entity has had a significant impact on the style, themes, or development of another entity’s literary work.
-
B.
hasHistoricalWritingInfluenceFrom
Indicates that one entity’s historical writing style, content, or traditions are influenced by those of another entity.
-
C.
languageOfInfluence
Indicates a relationship where one language has influenced the development, usage, or characteristics of another language.
-
D.
wereInfluencedBy
Indicates that one entity’s ideas, actions, or characteristics were shaped or affected by another entity.
-
E.
influencedIn
chosen
Indicates that one entity had an effect on or shaped another entity within a specific context, domain, or setting.
- 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_69e75a9908108190a95427a97020632a |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 21, 2026, 1:30 p.m.