Triple
T16418436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aslan Maskhadov |
E398748
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Shelekhov
Shelekhov is a town in Irkutsk Oblast, Russia, known as an industrial center in Siberia.
|
E1211824
|
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: Shelekhov | Statement: [Aslan Maskhadov, placeOfBirth, Shelekhov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shelekhov Context triple: [Aslan Maskhadov, placeOfBirth, Shelekhov]
-
A.
Ignatyev
Ignatyev is a Russian surname borne by various notable figures in politics, military, sports, and the arts.
-
B.
Tolbukhin
Tolbukhin is a Russian surname most notably associated with Soviet military commander Fyodor Tolbukhin, a prominent general during World War II.
-
C.
Pozdnyshev
Pozdnyshev is the tormented, jealous husband and central narrator of Leo Tolstoy’s novella "The Kreutzer Sonata," whose confession of murdering his wife drives the story’s exploration of marriage, sexuality, and morality.
-
D.
Samsonov
Samsonov is a Russian surname borne by numerous notable figures, including military leaders, athletes, and public personalities.
-
E.
Shchusev
Shchusev is a Russian surname most notably associated with Alexey Shchusev, a prominent Soviet architect known for designing Lenin's Mausoleum in Moscow.
- 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: Shelekhov Triple: [Aslan Maskhadov, placeOfBirth, Shelekhov]
Generated description
Shelekhov is a town in Irkutsk Oblast, Russia, known as an industrial center in Siberia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shelekhov Target entity description: Shelekhov is a town in Irkutsk Oblast, Russia, known as an industrial center in Siberia.
-
A.
Ignatyev
Ignatyev is a Russian surname borne by various notable figures in politics, military, sports, and the arts.
-
B.
Tolbukhin
Tolbukhin is a Russian surname most notably associated with Soviet military commander Fyodor Tolbukhin, a prominent general during World War II.
-
C.
Pozdnyshev
Pozdnyshev is the tormented, jealous husband and central narrator of Leo Tolstoy’s novella "The Kreutzer Sonata," whose confession of murdering his wife drives the story’s exploration of marriage, sexuality, and morality.
-
D.
Samsonov
Samsonov is a Russian surname borne by numerous notable figures, including military leaders, athletes, and public personalities.
-
E.
Shchusev
Shchusev is a Russian surname most notably associated with Alexey Shchusev, a prominent Soviet architect known for designing Lenin's Mausoleum in Moscow.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3287a3d348190831b12101d8449b6 |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c6ca1bc8190a6c4f675ec8e3a53 |
completed | May 10, 2026, 8:06 a.m. |
| NEDg | Description generation | batch_6a003e3b113c819083e1abc512631e2b |
completed | May 10, 2026, 8:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003eb6aa748190b0c8866af405794a |
completed | May 10, 2026, 8:15 a.m. |
Created at: April 10, 2026, 5:09 a.m.