Triple
T11733171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muztagh Ata |
E278951
|
entity |
| Predicate | firstAscentLeader |
P1321
|
FINISHED |
| Object |
E. Beletskiy
E. Beletskiy is a mountaineer known for leading the first successful ascent of the Central Asian peak Muztagh Ata.
|
E942271
|
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: E. Beletskiy | Statement: [Muztagh Ata, firstAscentLeader, E. Beletskiy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E. Beletskiy Context triple: [Muztagh Ata, firstAscentLeader, E. Beletskiy]
-
A.
E. Sokolov
E. Sokolov was a Russian architect known for his work on prominent St. Petersburg landmarks in the late 18th and early 19th centuries.
-
B.
V. B. Belogolovsky
V. B. Belogolovsky is an architect best known for his role in designing the Mask of Sorrow monument commemorating victims of political repression in Magadan, Russia.
-
C.
V. Volodarsky
V. Volodarsky was a Russian Bolshevik revolutionary and political activist prominent in the early Soviet period.
-
D.
N. Shumakov
N. Shumakov is a Russian architect best known for designing major Moscow Metro stations and transport infrastructure projects.
-
E.
D. N. Chechulin
D. N. Chechulin was a prominent Soviet architect known for designing major public buildings and infrastructure projects in the USSR.
- 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: E. Beletskiy Triple: [Muztagh Ata, firstAscentLeader, E. Beletskiy]
Generated description
E. Beletskiy is a mountaineer known for leading the first successful ascent of the Central Asian peak Muztagh Ata.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: E. Beletskiy Target entity description: E. Beletskiy is a mountaineer known for leading the first successful ascent of the Central Asian peak Muztagh Ata.
-
A.
E. Sokolov
E. Sokolov was a Russian architect known for his work on prominent St. Petersburg landmarks in the late 18th and early 19th centuries.
-
B.
V. B. Belogolovsky
V. B. Belogolovsky is an architect best known for his role in designing the Mask of Sorrow monument commemorating victims of political repression in Magadan, Russia.
-
C.
V. Volodarsky
V. Volodarsky was a Russian Bolshevik revolutionary and political activist prominent in the early Soviet period.
-
D.
N. Shumakov
N. Shumakov is a Russian architect best known for designing major Moscow Metro stations and transport infrastructure projects.
-
E.
D. N. Chechulin
D. N. Chechulin was a prominent Soviet architect known for designing major public buildings and infrastructure projects in the USSR.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4daa7f48190896fc7653e9dd70b |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef8406fe8881909722ecb040087e68 |
completed | April 27, 2026, 3:43 p.m. |
| NEDg | Description generation | batch_69ef9b68309081909f3f614efeeb2ab1 |
completed | April 27, 2026, 5:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69efd6aba82c81909ff22e6b26db3cfe |
completed | April 27, 2026, 9:35 p.m. |
Created at: April 8, 2026, 9:41 p.m.