Triple
T10549526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zinetula Bilyaletdinov |
E248909
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Zinetula |
E248909
|
NE FINISHED |
How this triple was built (2 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: Zinetula | Statement: [Zinetula Bilyaletdinov, givenName, Zinetula]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zinetula Context triple: [Zinetula Bilyaletdinov, givenName, Zinetula]
-
A.
Zinetula
chosen
Zinetula is a masculine given name most notably borne by Russian ice hockey coach and former player Zinetula Bilyaletdinov.
-
B.
Yehenara
Yehenara was a prominent Manchu noble clan of the Qing dynasty, best known as the family of Empress Dowager Cixi.
-
C.
Suzana
Suzana is the birth name of American actress Sasha Alexander, known for her roles in television series such as NCIS and Rizzoli & Isles.
-
D.
Djanira
Djanira was a prominent Brazilian modernist painter known for her vivid depictions of everyday life, religious themes, and popular culture.
-
E.
Thereza
Thereza is a given name, most commonly a variant spelling of Theresa used as a feminine first name in various cultures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d526d3e45c819099b360f9cfd3dd50 |
completed | April 7, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d93457af7c819090f576ae606c5849 |
completed | April 10, 2026, 5:33 p.m. |
Created at: April 6, 2026, 12:33 p.m.