Triple
T15265392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kondraty Ryleyev |
E364887
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Kondraty
Kondraty is a masculine given name of Russian origin, notably borne by the poet and Decembrist revolutionary Kondraty Ryleyev.
|
E1147486
|
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: Kondraty | Statement: [Kondraty Ryleyev, givenName, Kondraty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kondraty Context triple: [Kondraty Ryleyev, givenName, Kondraty]
-
A.
Ignatyev
Ignatyev is a Russian surname borne by various notable figures in politics, military, sports, and the arts.
-
B.
Yuryatin
Yuryatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Lara Antipova’s story.
-
C.
Tolbukhin
Tolbukhin is a Russian surname most notably associated with Soviet military commander Fyodor Tolbukhin, a prominent general during World War II.
-
D.
Anatoli
Anatoli is a small village in Greece that forms part of the Agia municipality in the regional unit of Larissa.
-
E.
Kalininsk
Kalininsk is a small town in southwestern Russia known for its agricultural surroundings and location within Saratov Oblast on the Volga River region.
- 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: Kondraty Triple: [Kondraty Ryleyev, givenName, Kondraty]
Generated description
Kondraty is a masculine given name of Russian origin, notably borne by the poet and Decembrist revolutionary Kondraty Ryleyev.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kondraty Target entity description: Kondraty is a masculine given name of Russian origin, notably borne by the poet and Decembrist revolutionary Kondraty Ryleyev.
-
A.
Ignatyev
Ignatyev is a Russian surname borne by various notable figures in politics, military, sports, and the arts.
-
B.
Yuryatin
Yuryatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Lara Antipova’s story.
-
C.
Tolbukhin
Tolbukhin is a Russian surname most notably associated with Soviet military commander Fyodor Tolbukhin, a prominent general during World War II.
-
D.
Anatoli
Anatoli is a small village in Greece that forms part of the Agia municipality in the regional unit of Larissa.
-
E.
Kalininsk
Kalininsk is a small town in southwestern Russia known for its agricultural surroundings and location within Saratov Oblast on the Volga River region.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00851c5b88190a296b6a105d3ee30 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5fdc21881909d87062db6fb8fb7 |
completed | May 9, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69fee714cf6c81908dc4427590eeae85 |
completed | May 9, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feeae4731081909964bd8b1ea3dd7a |
completed | May 9, 2026, 8:05 a.m. |
Created at: April 10, 2026, 3:14 a.m.