Triple
T10446308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurentius |
E246296
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Lavrenti |
E481377
|
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: Lavrenti | Statement: [Laurentius, hasVariant, Lavrenti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lavrenti Context triple: [Laurentius, hasVariant, Lavrenti]
-
A.
Lavrentiy
chosen
Lavrentiy was a Soviet politician and chief of Stalin’s secret police, notorious for his role in political repression and state security operations in the USSR.
-
B.
Sergo Beria
Sergo Beria was the son of Soviet secret police chief Lavrentiy Beria, known for his work as a Soviet military engineer and for later publishing memoirs about his father and the Stalin era.
-
C.
Rykov
Rykov is a Russian surname most notably associated with Alexei Rykov, a prominent early Soviet politician and premier.
-
D.
Matakevich
Matakevich is a surname most notably borne by American football linebacker and special teams standout Tyler Matakevich.
-
E.
Anatoly Virgansky
Anatoly Virgansky is best known as the husband of Irina Virganskaya, the daughter of former Soviet leader Leonid Brezhnev.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fdc0520c819098d2d53ee46a89ae |
completed | April 7, 2026, 12:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d933a2daf481908300a12d0f794e4c |
completed | April 10, 2026, 5:30 p.m. |
Created at: April 6, 2026, 12:16 p.m.