Triple
T26190938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | قثم بن عبد المطلب |
E654960
|
entity |
| Predicate | القرابة_من_محمد |
P74796
|
FINISHED |
| Object | ابن عم آمنة بنت وهب بالمصاهرة عبر عبد المطلب |
—
|
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: ابن عم آمنة بنت وهب بالمصاهرة عبر عبد المطلب | Statement: [قثم بن عبد المطلب, القرابة_من_محمد, ابن عم آمنة بنت وهب بالمصاهرة عبر عبد المطلب]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: القرابة_من_محمد Context triple: [قثم بن عبد المطلب, القرابة_من_محمد, ابن عم آمنة بنت وهب بالمصاهرة عبر عبد المطلب]
-
A.
associatedPersonRelationToMuhammad
Indicates the specific type of relationship or connection a person has to Muhammad.
-
B.
صلة_بالنبي_محمد
chosen
Indicates a relationship of connection, association, or kinship with the Prophet Muhammad.
-
C.
relationToKhalidIbnAlWalid
Indicates a relationship or association that an entity has with Khalid ibn al-Walid.
-
D.
relationToUthman
Indicates the type of relationship or connection an entity has to Uthman.
-
E.
relationshipToMuhajirun
Indicates the nature or type of relationship an entity has with the Muhajirun (the early Muslim emigrants from Mecca).
- 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_69ee5b469bc081908fe486453fdad810 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60ca25acc81908bfe2d4ba1107748 |
completed | May 2, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fd90fc81909055b211368f9139 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 8:44 p.m.