Triple
T4679039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lavrentiy Beria |
E103752
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Lavrentiy
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.
|
E481377
|
NE FINISHED |
How this triple was built (4 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: Lavrentiy | Statement: [Lavrentiy Beria, givenName, Lavrentiy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lavrentiy Context triple: [Lavrentiy Beria, givenName, Lavrentiy]
-
A.
Anatoly Virgansky
Anatoly Virgansky is best known as the husband of Irina Virganskaya, the daughter of former Soviet leader Leonid Brezhnev.
-
B.
Fyodor Tolbukhin
Fyodor Tolbukhin was a prominent Soviet military commander and Marshal of the Soviet Union, noted for leading major Red Army offensives on the Eastern Front during World War II.
-
C.
Yefim Rasputin
Yefim Rasputin was a Siberian peasant farmer and coachman known primarily as the father of the Russian mystic Grigori Rasputin.
-
D.
Semyon
Semyon is a masculine given name of Russian origin, commonly used in Slavic countries.
-
E.
Leonid
Leonid is a masculine given name of Slavic origin, notably borne by Soviet leader Leonid Brezhnev.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lavrentiy Triple: [Lavrentiy Beria, givenName, Lavrentiy]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lavrentiy Target entity description: 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.
-
A.
Anatoly Virgansky
Anatoly Virgansky is best known as the husband of Irina Virganskaya, the daughter of former Soviet leader Leonid Brezhnev.
-
B.
Fyodor Tolbukhin
Fyodor Tolbukhin was a prominent Soviet military commander and Marshal of the Soviet Union, noted for leading major Red Army offensives on the Eastern Front during World War II.
-
C.
Yefim Rasputin
Yefim Rasputin was a Siberian peasant farmer and coachman known primarily as the father of the Russian mystic Grigori Rasputin.
-
D.
Semyon
Semyon is a masculine given name of Russian origin, commonly used in Slavic countries.
-
E.
Leonid
Leonid is a masculine given name of Slavic origin, notably borne by Soviet leader Leonid Brezhnev.
- F. None of above. chosen
Provenance (5 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_69bd43dda32c8190938b37744ca270fc |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd636acffc819094e03c5bb53203d8 |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be7781d90881908cbf48ec60de3cfc |
completed | March 21, 2026, 10:48 a.m. |
| NEDg | Description generation | batch_69be793ee6c88190b0c9e8fb212a9067 |
completed | March 21, 2026, 10:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be79e948408190a80b0317843a82fa |
completed | March 21, 2026, 10:58 a.m. |
Created at: March 20, 2026, 1:16 p.m.