Triple
T7796632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ziauddin |
E180314
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Zia-ud-Din
Zia-ud-Din is a male given name of Arabic origin commonly used in Muslim communities, meaning "splendor of the religion."
|
E705516
|
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: Zia-ud-Din | Statement: [Ziauddin, hasVariant, Zia-ud-Din]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zia-ud-Din Context triple: [Ziauddin, hasVariant, Zia-ud-Din]
-
A.
Alamuddin
Alamuddin is the Lebanese Druze family name of prominent human rights lawyer Amal Clooney (née Amal Alamuddin).
-
B.
Shams-ud-Dīn
Shams-ud-Dīn is the formal given name of the famed 14th-century Persian lyric poet Hafez of Shiraz.
-
C.
Gultekin Khan
Gultekin Khan is a Bangladeshi academic and the former wife of renowned writer and filmmaker Humayun Ahmed.
-
D.
Shuja-ud-Din Muhammad Khan
Shuja-ud-Din Muhammad Khan was an 18th-century Nawab of Bengal known for his relatively stable and prosperous rule before the rise of Alivardi Khan.
-
E.
Nur-ud-din Muhammad Salim
Nur-ud-din Muhammad Salim, better known by his regnal name Jahangir, was the fourth Mughal emperor of India, renowned for his patronage of the arts and relatively liberal, if often indulgent, rule in the early 17th century.
- 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: Zia-ud-Din Triple: [Ziauddin, hasVariant, Zia-ud-Din]
Generated description
Zia-ud-Din is a male given name of Arabic origin commonly used in Muslim communities, meaning "splendor of the religion."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zia-ud-Din Target entity description: Zia-ud-Din is a male given name of Arabic origin commonly used in Muslim communities, meaning "splendor of the religion."
-
A.
Alamuddin
Alamuddin is the Lebanese Druze family name of prominent human rights lawyer Amal Clooney (née Amal Alamuddin).
-
B.
Shams-ud-Dīn
Shams-ud-Dīn is the formal given name of the famed 14th-century Persian lyric poet Hafez of Shiraz.
-
C.
Gultekin Khan
Gultekin Khan is a Bangladeshi academic and the former wife of renowned writer and filmmaker Humayun Ahmed.
-
D.
Shuja-ud-Din Muhammad Khan
Shuja-ud-Din Muhammad Khan was an 18th-century Nawab of Bengal known for his relatively stable and prosperous rule before the rise of Alivardi Khan.
-
E.
Nur-ud-din Muhammad Salim
Nur-ud-din Muhammad Salim, better known by his regnal name Jahangir, was the fourth Mughal emperor of India, renowned for his patronage of the arts and relatively liberal, if often indulgent, rule in the early 17th century.
- 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_69ca827d22208190b4dc5aa680edcf5d |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cae982c3b48190a35afe655fb20d55 |
completed | March 30, 2026, 9:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbdeb6c1b88190a38fb4507bfb380c |
completed | March 31, 2026, 2:48 p.m. |
| NEDg | Description generation | batch_69cc46bca04481908852425c214a4e34 |
completed | March 31, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc49129e188190aaebd6a1188788d9 |
completed | March 31, 2026, 10:22 p.m. |
Created at: March 30, 2026, 4:32 p.m.