Triple
T1940650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikolai Nikitin |
E41543
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Nikitin
Nikitin is a Russian surname borne by numerous notable figures in fields such as art, science, and sports.
|
E222310
|
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: Nikitin | Statement: [Nikolai Nikitin, familyName, Nikitin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nikitin Context triple: [Nikolai Nikitin, familyName, Nikitin]
-
A.
Nikolassee
Nikolassee is a residential locality in southwestern Berlin known for its lakeside setting, green spaces, and villa-style neighborhoods.
-
B.
Chernyakhovsky
Chernyakhovsky is a Slavic surname most notably associated with Soviet General Ivan Chernyakhovsky, a prominent commander during World War II.
-
C.
Tsitska
Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
-
D.
Nikolay
Nikolay is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Nicholas in English.
-
E.
Udaltsov
Udaltsov is a Russian surname most prominently associated with left-wing political activist Sergei Udaltsov.
- 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: Nikitin Triple: [Nikolai Nikitin, familyName, Nikitin]
Generated description
Nikitin is a Russian surname borne by numerous notable figures in fields such as art, science, and sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nikitin Target entity description: Nikitin is a Russian surname borne by numerous notable figures in fields such as art, science, and sports.
-
A.
Nikolassee
Nikolassee is a residential locality in southwestern Berlin known for its lakeside setting, green spaces, and villa-style neighborhoods.
-
B.
Chernyakhovsky
Chernyakhovsky is a Slavic surname most notably associated with Soviet General Ivan Chernyakhovsky, a prominent commander during World War II.
-
C.
Tsitska
Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
-
D.
Nikolay
Nikolay is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Nicholas in English.
-
E.
Udaltsov
Udaltsov is a Russian surname most prominently associated with left-wing political activist Sergei Udaltsov.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2fb21fc8190929ea4a87ef4402e |
completed | March 7, 2026, 5:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0315bb6c8190aa5571fe631a7310 |
completed | March 8, 2026, 11:15 p.m. |
| NEDg | Description generation | batch_69ae03b41dcc81909b4439006bdffc64 |
completed | March 8, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae044314188190a7472cf5f8e89f6c |
completed | March 8, 2026, 11:20 p.m. |
Created at: March 4, 2026, 7:36 p.m.