Triple
T25456721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ضرار بن عبد المطلب |
E637932
|
entity |
| Predicate | صلة_قرابة |
P74796
|
FINISHED |
| Object | هو أحد أعمام الرسول محمد |
—
|
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: هو أحد أعمام الرسول محمد | Statement: [ضرار بن عبد المطلب, صلة_قرابة, هو أحد أعمام الرسول محمد]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: صلة_قرابة Context triple: [ضرار بن عبد المطلب, صلة_قرابة, هو أحد أعمام الرسول محمد]
-
A.
صلة
Indicates a general connection, relationship, or linkage between two or more entities.
-
B.
مرتبطب
Indicates a relationship of being connected, associated, or related to something or someone.
-
C.
صلة_بالنبي_محمد
chosen
Indicates a relationship of connection, association, or kinship with the Prophet Muhammad.
-
D.
hasFamilialTieTo
Indicates a relationship where two entities are connected by family bonds, such as by blood, marriage, or adoption.
-
E.
moreDistantlyRelatedTo
Indicates that one entity is related to another by a more distant or indirect relationship compared to some closer reference relationship.
- 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_69e75db8bab08190baca80b4a8c315fd |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f72756748190aa315cc00882a798 |
completed | May 2, 2026, 1:07 p.m. |
| PD | Predicate disambiguation | batch_69f4683b34748190818428489a226124 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 2:10 p.m.