Triple
T9151156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Léonide Massine |
E219586
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Léonide |
E145654
|
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: Léonide | Statement: [Léonide Massine, givenName, Léonide]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Léonide Context triple: [Léonide Massine, givenName, Léonide]
-
A.
Leonid
chosen
Leonid is a masculine given name of Slavic origin, notably borne by Soviet leader Leonid Brezhnev.
-
B.
Nikolai Krestinsky
Nikolai Krestinsky was a Soviet Bolshevik revolutionary and high-ranking official who became a prominent defendant in Stalin’s Great Purge show trials before being executed.
-
C.
Nikolai Yershov
Nikolai Yershov was a Russian individual notable enough to be commemorated with a grave in Arsk Cemetery in Kazan, Russia.
-
D.
Anatoly Pepelyayev
Anatoly Pepelyayev was a Russian White Army general and prominent anti-Bolshevik commander during the Russian Civil War.
-
E.
Shura Cherkassky
Shura Cherkassky was a renowned 20th-century Russian-American pianist celebrated for his virtuosic technique, colorful interpretations, and exceptionally long international concert career.
- 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_69ca83e25418819093c6503deeaf30de |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca96b57888190a09a563f1fa522f6 |
completed | April 1, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b1a200288190a5545ca79bac017f |
completed | April 4, 2026, 6:37 a.m. |
Created at: March 30, 2026, 7:20 p.m.