Triple
T35367900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yevgeny Mironov |
E1021684
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object | Prince Myshkin in The Idiot |
—
|
NE NERFINISHED |
How this triple was built (1 step)
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: Prince Myshkin in The Idiot | Statement: [Yevgeny Mironov, notableRole, Prince Myshkin in The Idiot]
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_69f76df000488190ab7c97f565677055 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f791d459a88190ad4ba5de61adcf70 |
completed | May 3, 2026, 6:20 p.m. |
Created at: May 3, 2026, 4:03 p.m.