Triple
T14772959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lavr Kornilov |
E347181
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Lavr |
E347181
|
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: Lavr | Statement: [Lavr Kornilov, givenName, Lavr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lavr Context triple: [Lavr Kornilov, givenName, Lavr]
-
A.
Lavr
chosen
Lavr is the given name of Lavr Kornilov, a prominent Russian military officer and key figure in the events surrounding the Russian Revolution.
-
B.
Lyova
Lyova is a Russian diminutive form of the male given name Lev.
-
C.
Lavrans
Lavrans is a central character in Sigrid Undset’s medieval Norwegian novel "Kristin Lavransdatter," known primarily as the devoted and principled father of the protagonist, Kristin.
-
D.
Larionov
Larionov is a person after whom the KLM line is named, likely recognized for notable contributions or significance related to that context.
-
E.
Vaslav
Vaslav is the given name of Vaslav Nijinsky, the legendary early 20th-century ballet dancer and choreographer renowned for his groundbreaking work with the Ballets Russes.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec81485e08190be35baafcf22b6f2 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cfd26fc81909fba39c8705437ed |
completed | May 8, 2026, 4:19 p.m. |
Created at: April 10, 2026, 1:31 a.m.