Triple
T14847532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zia Mohyeddin |
E349136
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Mohyeddin |
E766029
|
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: Mohyeddin | Statement: [Zia Mohyeddin, familyName, Mohyeddin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mohyeddin Context triple: [Zia Mohyeddin, familyName, Mohyeddin]
-
A.
Mohieddin
chosen
Mohieddin is an Arabic surname notably borne by Egyptian politician and military officer Khaled Mohieddin.
-
B.
Diyâr Bekr
Diyâr Bekr is a historical name used in the medieval Islamic world for the region around the city of Diyarbakır in southeastern Anatolia.
-
C.
El Mounib
El Mounib is a district in Giza, Egypt, known for serving as a major southern transport hub on the Cairo Metro network.
-
D.
Quddus
Quddus is a television personality best known as one of the prominent hosts of MTV’s music video countdown show "Total Request Live" in the early 2000s.
-
E.
Belqasim
Belqasim is a personal given name of Arabic origin, used primarily in North African and Middle Eastern cultures.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded29236dc8190b7d3a37d09f9fb21 |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6502d3f081909ff6fa8722769e2e |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:53 a.m.