Triple
T25456558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | شيبة الحمد |
E637928
|
entity |
| Predicate | القرابة من بني النجار |
P158544
|
FINISHED |
| Object | خال النبي محمد من جهة الأم عبر أمه سلمى بنت عمرو الخزرجية |
—
|
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: خال النبي محمد من جهة الأم عبر أمه سلمى بنت عمرو الخزرجية | Statement: [شيبة الحمد, القرابة من بني النجار, خال النبي محمد من جهة الأم عبر أمه سلمى بنت عمرو الخزرجية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: القرابة من بني النجار Context triple: [شيبة الحمد, القرابة من بني النجار, خال النبي محمد من جهة الأم عبر أمه سلمى بنت عمرو الخزرجية]
-
A.
القرابة
chosen
Indicates a kinship relationship or familial connection between two entities.
-
B.
builderFamilyConnection
Indicates a familial relationship between a builder and another entity, such as a relative involved with or connected to the builder.
-
C.
nieceOrNephewOf
Indicates that one person is the niece or nephew (the child of a sibling or sibling-in-law) of another person.
-
D.
संबंधित वंश
Indicates a relationship where one entity belongs to, descends from, or is associated with a particular lineage or ancestry.
-
E.
isNephewOf
Indicates that one person is the male child of another person's sibling.
- 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_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 2:10 p.m.