Triple
T4142088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lev Okun |
E89293
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Lev |
E36954
|
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: Lev | Statement: [Lev Okun, givenName, Lev]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lev Context triple: [Lev Okun, givenName, Lev]
-
A.
Lev
chosen
Lev is the Russian given name of the renowned writer Leo Tolstoy, under which he was known in his native language.
-
B.
Leonid
Leonid is a masculine given name of Slavic origin, notably borne by Soviet leader Leonid Brezhnev.
-
C.
Levin
Levin is a surname of Jewish origin borne by various notable individuals across fields such as business, politics, and the arts.
-
D.
Levin
Levin is a town in New Zealand’s North Island known as a service and retail hub for the surrounding agricultural Horowhenua district.
-
E.
Lavr
Lavr is the given name of Lavr Kornilov, a prominent Russian military officer and key figure in the events surrounding the Russian Revolution.
- 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_69aed95785788190ae75bcf0cd1cafdf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af024b8fe4819098e8f393474363c8 |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576cff6c881909134804ba6f9876d |
completed | March 14, 2026, 2:55 p.m. |
Created at: March 9, 2026, 3:43 p.m.