Triple
T15638310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaikh Ayaz |
E376001
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
شيخ اياز
شيخ اياز هو شاعر وأديب بارز من إقليم السند في باكستان، يُعد من أهم المجددين في الشعر السندي الحديث.
|
E1168434
|
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: شيخ اياز | Statement: [Shaikh Ayaz, nativeName, شيخ اياز]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: شيخ اياز Context triple: [Shaikh Ayaz, nativeName, شيخ اياز]
-
A.
Khidr
Khidr is a mysterious, immortal figure in Islamic tradition often associated with hidden wisdom, guidance, and esoteric knowledge, who appears in the Qur’anic story of Moses.
-
B.
Jibreel Khazan
Jibreel Khazan, born Ezell Blair Jr., is a civil rights activist best known as one of the Greensboro Four who initiated the 1960 Woolworth’s lunch counter sit-ins in North Carolina.
-
C.
Taher
Taher is a town and commune in northeastern Algeria, serving as an important local center within Jijel Province.
-
D.
Abu Luqman
Abu Luqman is a senior Islamic State militant leader known for his prominent role in the group’s central command structure and operations in Syria.
-
E.
ʿAzīz
ʿAzīz is an Arabic male given name and epithet meaning “mighty,” “dear,” or “beloved,” commonly used across the Muslim world.
- 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: شيخ اياز Triple: [Shaikh Ayaz, nativeName, شيخ اياز]
Generated description
شيخ اياز هو شاعر وأديب بارز من إقليم السند في باكستان، يُعد من أهم المجددين في الشعر السندي الحديث.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: شيخ اياز Target entity description: شيخ اياز هو شاعر وأديب بارز من إقليم السند في باكستان، يُعد من أهم المجددين في الشعر السندي الحديث.
-
A.
Khidr
Khidr is a mysterious, immortal figure in Islamic tradition often associated with hidden wisdom, guidance, and esoteric knowledge, who appears in the Qur’anic story of Moses.
-
B.
Jibreel Khazan
Jibreel Khazan, born Ezell Blair Jr., is a civil rights activist best known as one of the Greensboro Four who initiated the 1960 Woolworth’s lunch counter sit-ins in North Carolina.
-
C.
Taher
Taher is a town and commune in northeastern Algeria, serving as an important local center within Jijel Province.
-
D.
Abu Luqman
Abu Luqman is a senior Islamic State militant leader known for his prominent role in the group’s central command structure and operations in Syria.
-
E.
ʿAzīz
ʿAzīz is an Arabic male given name and epithet meaning “mighty,” “dear,” or “beloved,” commonly used across the Muslim world.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eba51f08190ac5d9de7fc89405a |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f4b693c81908fd324a5e92fc23c |
completed | May 9, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69ff612f54a48190a392a3712db4c907 |
completed | May 9, 2026, 4:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff61fbcad481908af89369458b23ca |
completed | May 9, 2026, 4:34 p.m. |
Created at: April 10, 2026, 4:14 a.m.