Triple
T25456514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | شيبة الحمد |
E637928
|
entity |
| Predicate | الاسم عند الكبر |
P159126
|
FINISHED |
| Object | عبد المطلب بن هاشم |
—
|
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: عبد المطلب بن هاشم | Statement: [شيبة الحمد, الاسم عند الكبر, عبد المطلب بن هاشم]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الاسم عند الكبر Context triple: [شيبة الحمد, الاسم عند الكبر, عبد المطلب بن هاشم]
-
A.
الاسم عند الصغر
Indicates that the name refers specifically to the entity during its childhood or early age.
-
B.
الحفيد
Indicates a grandchild relationship, where one entity is the descendant (grandson or granddaughter) of another entity’s child.
-
C.
البنت
Indicates a relationship where an entity is identified as a girl or daughter in relation to another entity.
-
D.
عدد الحروف
Indicates the relationship that specifies the number of letters contained in a given word or text.
-
E.
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.
- 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_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 21, 2026, 2:10 p.m.