Triple
T21590599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imrān |
E532767
|
entity |
| Predicate | hasTransliteration |
P2508
|
FINISHED |
| Object |
Imraan
Imraan is a masculine given name of Arabic origin, commonly used in various Muslim communities worldwide.
|
E1492059
|
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: Imraan | Statement: [Imrān, hasTransliteration, Imraan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Imraan Context triple: [Imrān, hasTransliteration, Imraan]
-
A.
Bilall
Bilall is a Belgian film director and screenwriter best known as one half of the directing duo Adil & Bilall, recognized for stylish action and crime films like "Bad Boys for Life."
-
B.
Sajid
Sajid is a masculine given name of Arabic origin commonly used in South Asian and Muslim communities.
-
C.
Muhammad Muazzam
Muhammad Muazzam, better known as Bahadur Shah I, was the seventh Mughal emperor of India who briefly ruled the empire from 1707 to 1712 following the death of his father Aurangzeb.
-
D.
Bilawal
Bilawal is the given name of Pakistani politician Bilawal Bhutto Zardari, chairman of the Pakistan Peoples Party and former foreign minister of Pakistan.
-
E.
Zayed Khan
Zayed Khan is an Indian film actor best known for his roles in early-2000s Bollywood movies such as "Main Hoon Na."
- 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: Imraan Triple: [Imrān, hasTransliteration, Imraan]
Generated description
Imraan is a masculine given name of Arabic origin, commonly used in various Muslim communities worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Imraan Target entity description: Imraan is a masculine given name of Arabic origin, commonly used in various Muslim communities worldwide.
-
A.
Bilall
Bilall is a Belgian film director and screenwriter best known as one half of the directing duo Adil & Bilall, recognized for stylish action and crime films like "Bad Boys for Life."
-
B.
Sajid
Sajid is a masculine given name of Arabic origin commonly used in South Asian and Muslim communities.
-
C.
Muhammad Muazzam
Muhammad Muazzam, better known as Bahadur Shah I, was the seventh Mughal emperor of India who briefly ruled the empire from 1707 to 1712 following the death of his father Aurangzeb.
-
D.
Bilawal
Bilawal is the given name of Pakistani politician Bilawal Bhutto Zardari, chairman of the Pakistan Peoples Party and former foreign minister of Pakistan.
-
E.
Zayed Khan
Zayed Khan is an Indian film actor best known for his roles in early-2000s Bollywood movies such as "Main Hoon Na."
- 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefadd0ec88190929c76137bd1603e |
completed | April 27, 2026, 5:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09f681f8a08190965cf2c3b12eb134 |
completed | May 17, 2026, 5:10 p.m. |
| NEDg | Description generation | batch_6a09f85e21948190a6563d309c349f78 |
completed | May 17, 2026, 5:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09f8d30ff08190b3bc6c45f7b5257b |
completed | May 17, 2026, 5:20 p.m. |
Created at: April 16, 2026, 6:32 p.m.