Triple
T16533810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Igor |
E401633
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Ygor |
E427844
|
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: Ygor | Statement: [Igor, hasVariant, Ygor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ygor Context triple: [Igor, hasVariant, Ygor]
-
A.
Yegor
chosen
Yegor is a given name of Slavic origin, commonly used in Russian-speaking countries as a variant of the name Georgy (George).
-
B.
Chernus
Chernus is a surname most notably associated with American actor Michael Chernus, known for his work in film, television, and theater.
-
C.
Boris
Boris is a Japanese experimental band known for its genre-blending sound that spans drone, metal, noise, and ambient music.
-
D.
Boris
Boris is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
-
E.
Boris
Boris is a fictional character appearing in Jean-Paul Sartre’s novel cycle "The Roads to Freedom."
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32eda42548190be61efb25a44a554 |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006093244081909ae74674de966d6d |
completed | May 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:15 a.m.