Triple
T11785964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maurice LaMarche |
E280269
|
entity |
| Predicate | voiceRole |
P12691
|
FINISHED |
| Object | Egor |
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: Egor | Statement: [Maurice LaMarche, voiceRole, Egor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Egor Context triple: [Maurice LaMarche, voiceRole, Egor]
-
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.
Gavril
Gavril is a masculine given name, commonly used in Slavic and Eastern European cultures, that derives from the Hebrew name Gabriel.
-
C.
Vasily
Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
-
D.
Timofei
Timofei is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and related to the name Timo.
-
E.
Oleg
Oleg is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a585795c8190aa8a5edf0d99b47f |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f090d861f481909b920197a3d60e28 |
completed | April 28, 2026, 10:50 a.m. |
Created at: April 8, 2026, 9:42 p.m.