Triple
T25456527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | شيبة الحمد |
E637928
|
entity |
| Predicate | المنزلة في قريش |
P158546
|
FINISHED |
| Object | سيد قريش |
—
|
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: سيد قريش | Statement: [شيبة الحمد, المنزلة في قريش, سيد قريش]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: المنزلة في قريش Context triple: [شيبة الحمد, المنزلة في قريش, سيد قريش]
-
A.
المنصب_في_قريش
Indicates that a person holds or held a specific official or social position within the Quraysh tribe.
-
B.
من_بطون_قريش
chosen
Indicates that someone or something originates from, descends from, or belongs to the clans or lineages of Quraysh.
-
C.
تذكر عقوبة زوجة أبي لهب
Indicates that an entity recalls or mentions the punishment of the wife of Abu Lahab.
-
D.
تذكر كنية امرأة أبي لهب
Indicates mentioning or recalling the kunya (honorific nickname) of Abu Lahab’s wife.
-
E.
حكم تلاوتها
Indicates the ruling or legal judgment regarding the recitation of something (e.g., whether its recitation is obligatory, recommended, permissible, disliked, or forbidden).
- 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_69f4806d93dc8190b9dff4c63186faff |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 2:10 p.m.