Triple
T21587450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahmood |
E532686
|
entity |
| Predicate | typicalScriptForm |
P70071
|
FINISHED |
| Object | محمود |
—
|
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: محمود | Statement: [Mahmood, typicalScriptForm, محمود]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: محمود Context triple: [Mahmood, typicalScriptForm, محمود]
-
A.
Mahmoud
chosen
Mahmoud is a common Arabic male given name widely used across the Middle East and Muslim-majority countries.
-
B.
Mohamed
Mohamed is a common Arabic male given name, widely used across the Muslim world in honor of the Prophet Muhammad.
-
C.
Mohammed Ibrahim
Mohammed Ibrahim is a Sudanese-British billionaire businessman and philanthropist best known for founding the Mo Ibrahim Foundation, which promotes good governance and leadership in Africa.
-
D.
Abdoel Moeis
Abdoel Moeis was an influential Indonesian nationalist, writer, and early independence activist who played a key role in the anti-colonial movement during the Dutch East Indies era.
-
E.
Naser
Naser is a masculine given name of Arabic origin, commonly used across the Middle East and Muslim-majority regions, meaning "helper" or "victorious."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeeb621ab88190a33a943424ffb306 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 16, 2026, 6:31 p.m.