Triple
T30359776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walid ibn al-Mughirah |
E772246
|
entity |
| Predicate | attitudeTowardQuran |
P170454
|
FINISHED |
| Object | rejected divine origin |
—
|
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: rejected divine origin | Statement: [Walid ibn al-Mughirah, attitudeTowardQuran, rejected divine origin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attitudeTowardQuran Context triple: [Walid ibn al-Mughirah, attitudeTowardQuran, rejected divine origin]
-
A.
religiousAttitude
Indicates an entity’s stance, disposition, or orientation toward religion or religious beliefs.
-
B.
attitudeToSectarianism
Indicates an entity’s stance or disposition toward sectarianism, such as support, opposition, or neutrality.
-
C.
attitudeToRa’y
Indicates the nature or stance of one entity’s attitude, opinion, or feeling toward Ra’y.
-
D.
quranicStatus
Indicates the status or classification of something in relation to its recognition, treatment, or role within the Quran.
-
E.
attitudeTowardEducation
Indicates an entity’s feelings, beliefs, or stance regarding education or educational practices.
- F. None of above. chosen
Provenance (4 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_69f2248c6f5c8190a6177842bf791a3c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f69063edbc81909e7735954aabee0b |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68f6584a88190a8c4d95c0c84bee9 |
completed | May 2, 2026, 11:57 p.m. |
Created at: April 29, 2026, 7:57 p.m.