Triple
T17194306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Иронтæй |
E417306
|
entity |
| Predicate | обозначает |
P68246
|
FINISHED |
| Object |
иронцев
Иронцев — это осетинский народ (ироны), составляющий крупнейшую этническую группу Осетии и говорящий на иронском диалекте осетинского языка.
|
E1255165
|
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: иронцев | Statement: [Иронтæй, обозначает, иронцев]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: иронцев Context triple: [Иронтæй, обозначает, иронцев]
-
A.
Voloshin
Voloshin is a Russian surname most notably associated with the poet and literary critic Maximilian Voloshin, a key figure of the Silver Age of Russian poetry.
-
B.
Gerasimov
Gerasimov is a Russian surname borne by various notable figures in fields such as the military, arts, and sciences.
-
C.
Ratmir
Ratmir is a Tatar prince who appears as a gallant yet ultimately reformed seducer in Alexander Pushkin’s narrative poem "Ruslan and Ludmila."
-
D.
Milyutin
Milyutin is a Russian surname most notably associated with Dmitry Milyutin, the 19th-century Imperial Russian war minister and military reformer.
-
E.
Ignatyev
Ignatyev is a Russian surname borne by various notable figures in politics, military, sports, and the arts.
- 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: иронцев Triple: [Иронтæй, обозначает, иронцев]
Generated description
Иронцев — это осетинский народ (ироны), составляющий крупнейшую этническую группу Осетии и говорящий на иронском диалекте осетинского языка.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: иронцев Target entity description: Иронцев — это осетинский народ (ироны), составляющий крупнейшую этническую группу Осетии и говорящий на иронском диалекте осетинского языка.
-
A.
Voloshin
Voloshin is a Russian surname most notably associated with the poet and literary critic Maximilian Voloshin, a key figure of the Silver Age of Russian poetry.
-
B.
Gerasimov
Gerasimov is a Russian surname borne by various notable figures in fields such as the military, arts, and sciences.
-
C.
Ratmir
Ratmir is a Tatar prince who appears as a gallant yet ultimately reformed seducer in Alexander Pushkin’s narrative poem "Ruslan and Ludmila."
-
D.
Milyutin
Milyutin is a Russian surname most notably associated with Dmitry Milyutin, the 19th-century Imperial Russian war minister and military reformer.
-
E.
Ignatyev
Ignatyev is a Russian surname borne by various notable figures in politics, military, sports, and the arts.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42da93bf88190b60b658087779d36 |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fd5f834819080ad2a2ffdc017b6 |
completed | May 11, 2026, 4:49 a.m. |
| NEDg | Description generation | batch_6a0160ce18e88190af8e3a7dfc17536a |
completed | May 11, 2026, 4:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016146ce14819091e3459d25ca19aa |
completed | May 11, 2026, 4:55 a.m. |
Created at: April 10, 2026, 5:38 a.m.