Triple
T16026992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afanasy Danilovich |
E388740
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Afanasy
Afanasy is a Russian masculine given name of Greek origin, commonly borne by historical and religious figures in Slavic cultures.
|
E1189190
|
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: Afanasy | Statement: [Afanasy Danilovich, givenName, Afanasy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Afanasy Context triple: [Afanasy Danilovich, givenName, Afanasy]
-
A.
Vorontsovskaya
Vorontsovskaya is a metro station on Moscow’s Big Circle Line serving the southwestern part of the city.
-
B.
Vyatka
Vyatka was a historic region and town in northeastern European Russia, known as a frontier area that was gradually incorporated into the centralized Russian state.
-
C.
Anatoli
Anatoli is a small village in Greece that forms part of the Agia municipality in the regional unit of Larissa.
-
D.
Khovrino
Khovrino is a Moscow Metro station serving as the northern terminus of the Zamoskvoretskaya Line.
-
E.
Dobryninskaya
Dobryninskaya is a Moscow Metro station on the circular Koltsevaya Line, known for its Stalinist-era architecture and central location.
- 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: Afanasy Triple: [Afanasy Danilovich, givenName, Afanasy]
Generated description
Afanasy is a Russian masculine given name of Greek origin, commonly borne by historical and religious figures in Slavic cultures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Afanasy Target entity description: Afanasy is a Russian masculine given name of Greek origin, commonly borne by historical and religious figures in Slavic cultures.
-
A.
Vorontsovskaya
Vorontsovskaya is a metro station on Moscow’s Big Circle Line serving the southwestern part of the city.
-
B.
Vyatka
Vyatka was a historic region and town in northeastern European Russia, known as a frontier area that was gradually incorporated into the centralized Russian state.
-
C.
Anatoli
Anatoli is a small village in Greece that forms part of the Agia municipality in the regional unit of Larissa.
-
D.
Khovrino
Khovrino is a Moscow Metro station serving as the northern terminus of the Zamoskvoretskaya Line.
-
E.
Dobryninskaya
Dobryninskaya is a Moscow Metro station on the circular Koltsevaya Line, known for its Stalinist-era architecture and central location.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18328707c8190b9a444c78faaaa04 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf33c6a881909284933ea3b7dd6e |
completed | May 10, 2026, 12:20 a.m. |
| NEDg | Description generation | batch_69ffd01d545c8190a96cd888223c7fa9 |
completed | May 10, 2026, 12:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd0b3d4b08190b1be30954d5d76c0 |
completed | May 10, 2026, 12:26 a.m. |
Created at: April 10, 2026, 4:56 a.m.