Triple
T17270420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zubov |
E419241
|
entity |
| Predicate | hasFeminineForm |
P1613
|
FINISHED |
| Object | Zubova |
E419241
|
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: Zubova | Statement: [Zubov, hasFeminineForm, Zubova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zubova Context triple: [Zubov, hasFeminineForm, Zubova]
-
A.
Zubov
chosen
Zubov is a Russian surname most notably associated with figures such as Hockey Hall of Fame defenseman Sergei Zubov.
-
B.
Vasily
Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
-
C.
Pokryshkin
Pokryshkin is a Russian surname most famously associated with Aleksandr Pokryshkin, a celebrated Soviet World War II fighter ace and marshal of aviation.
-
D.
Konstantin Vershinin
Konstantin Vershinin was a prominent Soviet military leader who served as a senior commander of the Soviet Air Forces during and after World War II.
-
E.
Pozdnyshev
Pozdnyshev is the tormented, jealous husband and central narrator of Leo Tolstoy’s novella "The Kreutzer Sonata," whose confession of murdering his wife drives the story’s exploration of marriage, sexuality, and morality.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42f4917ec819096356ad2ed24d51d |
completed | April 19, 2026, 1:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c3e50ac8190bcbe7f2b77bee4b7 |
completed | May 11, 2026, 7:58 a.m. |
Created at: April 10, 2026, 5:40 a.m.