Triple
T8272973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aziz |
E193470
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Azizov
Azizov is a patronymic-style surname derived from the given name Aziz, commonly found in Central Asian and other Turkic or Slavic-influenced regions.
|
E722953
|
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: Azizov | Statement: [Aziz, hasVariant, Azizov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azizov Context triple: [Aziz, hasVariant, Azizov]
-
A.
Muratov
Muratov is a Russian surname most prominently associated with Dmitry Muratov, the Nobel Peace Prize–winning journalist and editor-in-chief of the independent newspaper Novaya Gazeta.
-
B.
Makhar Vaziev
Makhar Vaziev is a prominent Russian ballet director and former dancer best known for leading major companies including the Bolshoi Ballet and La Scala Ballet.
-
C.
Arapov
Arapov is a Slavic masculine surname commonly found in Russian-speaking countries.
-
D.
Zhores
Zhores is a given name most notably borne by Nobel Prize–winning physicist Zhores Alferov.
-
E.
Khillar Khachirov
Khillar Khachirov was a mountaineer known for being among the climbers credited with the first recorded ascent of Mount Elbrus, the highest peak in Europe.
- 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: Azizov Triple: [Aziz, hasVariant, Azizov]
Generated description
Azizov is a patronymic-style surname derived from the given name Aziz, commonly found in Central Asian and other Turkic or Slavic-influenced regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Azizov Target entity description: Azizov is a patronymic-style surname derived from the given name Aziz, commonly found in Central Asian and other Turkic or Slavic-influenced regions.
-
A.
Muratov
Muratov is a Russian surname most prominently associated with Dmitry Muratov, the Nobel Peace Prize–winning journalist and editor-in-chief of the independent newspaper Novaya Gazeta.
-
B.
Makhar Vaziev
Makhar Vaziev is a prominent Russian ballet director and former dancer best known for leading major companies including the Bolshoi Ballet and La Scala Ballet.
-
C.
Arapov
Arapov is a Slavic masculine surname commonly found in Russian-speaking countries.
-
D.
Zhores
Zhores is a given name most notably borne by Nobel Prize–winning physicist Zhores Alferov.
-
E.
Khillar Khachirov
Khillar Khachirov was a mountaineer known for being among the climbers credited with the first recorded ascent of Mount Elbrus, the highest peak in Europe.
- 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_69ca82e14ae481908ffdb822cd2192bc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb798878988190a5f63c854aa070f2 |
completed | March 31, 2026, 7:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd68502888819084bfe4621978711d |
completed | April 1, 2026, 6:47 p.m. |
| NEDg | Description generation | batch_69cd6c21172481908dc04b85ee4370a8 |
completed | April 1, 2026, 7:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7e0d1b8c8190b5183cc176432061 |
completed | April 1, 2026, 8:20 p.m. |
Created at: March 30, 2026, 5:50 p.m.