Triple
T4081131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Jazari |
E87479
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ismāʿīl |
E201898
|
NE 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: Ismāʿīl | Statement: [Al-Jazari, givenName, Ismāʿīl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ismāʿīl Context triple: [Al-Jazari, givenName, Ismāʿīl]
-
A.
Ismail
chosen
Ismail is a prophet in Islamic tradition, revered as a son of Ibrahim (Abraham) and an exemplar of patience and obedience to God.
-
B.
Ishaq
Ishaq is the Arabic form of the biblical name Isaac, commonly used in Muslim and Arabic-speaking communities.
-
C.
Ibrahim
Ibrahim is the name used in Islamic tradition for the prophet Abraham, a central patriarchal figure revered in Judaism, Christianity, and Islam.
-
D.
Abbas
Abbas is a character in Naguib Mahfouz's novel "Midaq Alley," known as a humble, idealistic barber whose romantic aspirations and personal struggles reflect the social and moral tensions of 1940s Cairo.
-
E.
Mohamed
Mohamed is a common Arabic male given name, widely used across the Muslim world in honor of the Prophet Muhammad.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69aed9435cf48190ad1da737c962d19d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc5204d881909829de15015aa50d |
completed | March 9, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562c3e1b081908cd783d9399a751f |
completed | March 14, 2026, 1:29 p.m. |
Created at: March 9, 2026, 3:39 p.m.