Triple
T7281971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mazhar Osman |
E163170
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Mazhar
Mazhar is a masculine given name of Arabic origin commonly used in Turkey and several other Muslim-majority countries.
|
E654180
|
NE FINISHED |
How this triple was built (4 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: [Mazhar Osman, givenName, Mazhar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mazhar Context triple: [Mazhar Osman, givenName, Mazhar]
-
A.
Akhtar
Akhtar is a masculine given name commonly used in South Asian and Muslim communities, derived from Persian and meaning "star" or "good fortune."
-
B.
Azeem
Azeem is a wise and skilled Moorish warrior who becomes Robin Hood’s loyal companion in the film "Robin Hood: Prince of Thieves."
-
C.
Mirza
Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
-
D.
Najeeb
Najeeb is a masculine given name of Arabic origin meaning "noble" or "distinguished."
-
E.
Tahir
Tahir is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mazhar Triple: [Mazhar Osman, givenName, Mazhar]
Generated description
Mazhar is a masculine given name of Arabic origin commonly used in Turkey and several other Muslim-majority countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mazhar Target entity description: Mazhar is a masculine given name of Arabic origin commonly used in Turkey and several other Muslim-majority countries.
-
A.
Akhtar
Akhtar is a masculine given name commonly used in South Asian and Muslim communities, derived from Persian and meaning "star" or "good fortune."
-
B.
Azeem
Azeem is a wise and skilled Moorish warrior who becomes Robin Hood’s loyal companion in the film "Robin Hood: Prince of Thieves."
-
C.
Mirza
Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
-
D.
Najeeb
Najeeb is a masculine given name of Arabic origin meaning "noble" or "distinguished."
-
E.
Tahir
Tahir is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
- F. None of above. chosen
Provenance (5 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb4d3e3c8190a05cb5af5f52bd75 |
completed | March 27, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db3ae6a08190820c7096cbfea521 |
completed | March 28, 2026, 1:44 p.m. |
| NEDg | Description generation | batch_69c7dbe3e2ac8190a112ff01244f6a81 |
completed | March 28, 2026, 1:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7dfc15d2c8190afcf8572ff3dbb6d |
completed | March 28, 2026, 2:03 p.m. |
Created at: March 27, 2026, 2:59 p.m.