Triple
T5849313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count Kirill Vladimirovich Bezukhov |
E129988
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Kirill |
E201164
|
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: Kirill | Statement: [Count Kirill Vladimirovich Bezukhov, givenName, Kirill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kirill Context triple: [Count Kirill Vladimirovich Bezukhov, givenName, Kirill]
-
A.
Kirill
chosen
Kirill is a highly skilled Russian assassin and primary antagonist who relentlessly hunts Jason Bourne in the action thriller film "The Bourne Supremacy."
-
B.
Timofei
Timofei is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and related to the name Timo.
-
C.
Vova
Vova is a common Russian diminutive form of the male given name Vladimir.
-
D.
Nikolay
Nikolay is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Nicholas in English.
-
E.
Kirilov
Kirilov is a philosophical and tormented character in Fyodor Dostoevsky’s novel "Demons," known for his radical ideas about freedom, God, and suicide.
- 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_69c0084de39081909eb34e6bed74215a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c035145a0c8190941945a83a3f2416 |
completed | March 22, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b1007bbc81908963d3d14c9210c5 |
completed | March 23, 2026, 3:18 a.m. |
Created at: March 22, 2026, 3:55 p.m.