Triple
T22527394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahmed Mazhar |
E556941
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Mazhar |
—
|
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: Mazhar | Statement: [Ahmed Mazhar, hasFamilyName, Mazhar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mazhar Context triple: [Ahmed Mazhar, hasFamilyName, Mazhar]
-
A.
Mazhar
chosen
Mazhar is a masculine given name of Arabic origin commonly used in Turkey and several other Muslim-majority countries.
-
B.
Shahriar
Shahriar is a city in Tehran Province, Iran, known as an urban center within the metropolitan area southwest of Tehran.
-
C.
Akhtar
Akhtar is a masculine given name commonly used in South Asian and Muslim communities, derived from Persian and meaning "star" or "good fortune."
-
D.
Asghar
Asghar is a Persian given name commonly used for males in Iran and other Persian-speaking or Islamic cultures.
-
E.
Amir Nazar
Amir Nazar is a fictional character from the long-running Dutch soap opera "Goede tijden, slechte tijden."
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed411488190a51320930b9805c2 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 16, 2026, 8:51 p.m.