Triple
T17766550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anatoly |
E443521
|
entity |
| Predicate | hasLatinTransliteration |
P76738
|
FINISHED |
| Object | Anatoli |
—
|
NE NERFINISHED |
How this triple was built (2 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: Anatoli | Statement: [Anatoly, hasLatinTransliteration, Anatoli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anatoli Context triple: [Anatoly, hasLatinTransliteration, Anatoli]
-
A.
Anatoli
Anatoli is a small village in Greece that forms part of the Agia municipality in the regional unit of Larissa.
-
B.
Anatolii
Anatolii is a masculine given name, commonly used in Slavic countries as a variant of the name Anatoly.
-
C.
Yuryatin
Yuryatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Lara Antipova’s story.
-
D.
Tikhon
Tikhon was the religious name of Patriarch Tikhon of Moscow, the early 20th-century head of the Russian Orthodox Church known for leading it through the turmoil of the Russian Revolution and early Soviet period.
-
E.
Anatoly
chosen
Anatoly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485fccb9881908923564bf319f3c1 |
completed | April 19, 2026, 7:36 a.m. |
Created at: April 10, 2026, 10:11 a.m.