Triple
T25456491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عبد المطلب بن هاشم بن عبد مناف |
E637927
|
entity |
| Predicate | الحفيد |
P158541
|
FINISHED |
| Object | النبي محمد بن عبد الله |
—
|
NE NERFINISHED |
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: النبي محمد بن عبد الله | Statement: [عبد المطلب بن هاشم بن عبد مناف, الحفيد, النبي محمد بن عبد الله]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الحفيد Context triple: [عبد المطلب بن هاشم بن عبد مناف, الحفيد, النبي محمد بن عبد الله]
-
A.
الجيل
Indicates a generational relationship, linking entities as belonging to the same generation or specifying that one entity is a particular generation relative to another.
-
B.
ألف
Indicates that an entity is associated with or characterized by the concept denoted by "ألف" in relation to another entity.
-
C.
भाई
Indicates a sibling relationship where one entity is the brother of another.
-
D.
عدد الحروف
Indicates the relationship that specifies the number of letters contained in a given word or text.
-
E.
الأم
Indicates a maternal relationship where one entity is the mother of another entity.
- 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_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. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 21, 2026, 2:09 p.m.