Triple
T12208867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamal |
E290903
|
entity |
| Predicate | hasVariantForm |
P457
|
FINISHED |
| Object |
Kamaal
Kamaal is a masculine given name, commonly used in South Asian and Middle Eastern cultures, that conveys meanings related to perfection or excellence.
|
E971804
|
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: Kamaal | Statement: [Kamal, hasVariantForm, Kamaal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamaal Context triple: [Kamal, hasVariantForm, Kamaal]
-
A.
Kaoma
Kaoma is a significant town in western Zambia that serves as an important administrative and commercial center for the Barotseland region.
-
B.
Kakai
Kakai is the birth name (nomen) of the ancient Egyptian pharaoh Neferirkare, a ruler of the Fifth Dynasty of the Old Kingdom.
-
C.
Kam
Kam is the name of an ethnic group in China and Southeast Asia, also known as the Dong people, who are recognized for their distinct Kam–Sui language and rich traditional culture.
-
D.
Laʼeeb
Laʼeeb is the animated, turban-like character that served as the official mascot of the 2022 FIFA World Cup in Qatar.
-
E.
Nez Khammal
Nez Khammal is a British music video director known for his visually distinctive work with prominent hip-hop and pop artists.
- 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: Kamaal Triple: [Kamal, hasVariantForm, Kamaal]
Generated description
Kamaal is a masculine given name, commonly used in South Asian and Middle Eastern cultures, that conveys meanings related to perfection or excellence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kamaal Target entity description: Kamaal is a masculine given name, commonly used in South Asian and Middle Eastern cultures, that conveys meanings related to perfection or excellence.
-
A.
Kaoma
Kaoma is a significant town in western Zambia that serves as an important administrative and commercial center for the Barotseland region.
-
B.
Kakai
Kakai is the birth name (nomen) of the ancient Egyptian pharaoh Neferirkare, a ruler of the Fifth Dynasty of the Old Kingdom.
-
C.
Kam
Kam is the name of an ethnic group in China and Southeast Asia, also known as the Dong people, who are recognized for their distinct Kam–Sui language and rich traditional culture.
-
D.
Laʼeeb
Laʼeeb is the animated, turban-like character that served as the official mascot of the 2022 FIFA World Cup in Qatar.
-
E.
Nez Khammal
Nez Khammal is a British music video director known for his visually distinctive work with prominent hip-hop and pop artists.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c7ed4688190b0546b784e36b0ec |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a9d2f0c81908352cd9f0167c6ab |
completed | May 2, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_69f60f2154c8819081f9cf6f51e5255b |
completed | May 2, 2026, 2:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60fe8c2ec8190af7c69dd17ea75fe |
completed | May 2, 2026, 2:53 p.m. |
Created at: April 8, 2026, 9:51 p.m.