Triple
T22433046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adil |
E554544
|
entity |
| Predicate | transliterationVariant |
P5923
|
FINISHED |
| Object |
Adeel
Adeel is a male given name, common in South Asian and Muslim communities, typically meaning "just" or "fair."
|
E1536411
|
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: Adeel | Statement: [Adil, transliterationVariant, Adeel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adeel Context triple: [Adil, transliterationVariant, Adeel]
-
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.
Adeel Akhtar
Adeel Akhtar is a British actor known for his versatile performances in film and television, including acclaimed roles in projects like "Four Lions," "Utopia," and "Murdered by My Father."
-
C.
Asif
Asif is a common male given name used in South Asian and Middle Eastern cultures, notably borne by Pakistani politician Asif Ali Zardari.
-
D.
Imraan
Imraan is a masculine given name of Arabic origin, commonly used in various Muslim communities worldwide.
-
E.
Umair Aleem
Umair Aleem is a screenwriter best known for penning action-thriller films, including the 2015 movie "Extraction."
- 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: Adeel Triple: [Adil, transliterationVariant, Adeel]
Generated description
Adeel is a male given name, common in South Asian and Muslim communities, typically meaning "just" or "fair."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adeel Target entity description: Adeel is a male given name, common in South Asian and Muslim communities, typically meaning "just" or "fair."
-
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.
Adeel Akhtar
Adeel Akhtar is a British actor known for his versatile performances in film and television, including acclaimed roles in projects like "Four Lions," "Utopia," and "Murdered by My Father."
-
C.
Asif
Asif is a common male given name used in South Asian and Middle Eastern cultures, notably borne by Pakistani politician Asif Ali Zardari.
-
D.
Imraan
Imraan is a masculine given name of Arabic origin, commonly used in various Muslim communities worldwide.
-
E.
Umair Aleem
Umair Aleem is a screenwriter best known for penning action-thriller films, including the 2015 movie "Extraction."
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a3320448190ae3931062599116e |
completed | April 29, 2026, 1:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0af0f90f5881908f0011690cb0f1e4 |
completed | May 18, 2026, 10:59 a.m. |
| NEDg | Description generation | batch_6a0af268db2881908706641ad1e41f79 |
completed | May 18, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b08e411048190a368214c57c35d5e |
completed | May 18, 2026, 12:41 p.m. |
Created at: April 16, 2026, 8:47 p.m.