Triple
T18209237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vladimir Sherwood |
E435985
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Vladimir Sherwood |
—
|
NE NERFINISHED |
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: Vladimir Sherwood | Statement: [Vladimir Sherwood, name, Vladimir Sherwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vladimir Sherwood Context triple: [Vladimir Sherwood, name, Vladimir Sherwood]
-
A.
Vladimir Sherwood
chosen
Vladimir Sherwood was a Russian architect best known for his Neo-Russian style designs in Moscow during the late 19th century.
-
B.
Edward Chodorov
Edward Chodorov was an American playwright, screenwriter, and producer known for his work in mid-20th-century Hollywood and Broadway.
-
C.
Vladimir Volodarsky
Vladimir Volodarsky was a prominent Bolshevik revolutionary and Soviet political figure active during the early years of the Russian Revolution.
-
D.
Victor Rasuk
Victor Rasuk is an American actor known for roles in films like "Lords of Dogtown" and "How to Make It in America," as well as supporting parts in major franchises.
-
E.
Vladimir Shamanov
Vladimir Shamanov is a Russian military general and politician known for his prominent command roles in the Chechen Wars and later service as a senior official in Russia’s armed forces and government.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e2276d7c8190883fa3f6f7b81133 |
completed | April 19, 2026, 2:09 p.m. |
Created at: April 10, 2026, 10:32 a.m.