Triple
T10442515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nadia |
E246202
|
entity |
| Predicate | hasScriptForm |
P5713
|
FINISHED |
| Object | Надя |
E616360
|
NE FINISHED |
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: Надя | Statement: [Nadia, hasScriptForm, Надя]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Надя Context triple: [Nadia, hasScriptForm, Надя]
-
A.
Nadya
chosen
Nadya is a feminine given name, often used as a diminutive of Nadezhda in Slavic cultures.
-
B.
Tatyana
Tatyana is a feminine given name of Slavic origin, particularly common in Russian-speaking countries.
-
C.
Наташа
Наташа — одна из главных героинь пьесы Максима Горького «На дне», олицетворяющая трагическую судьбу бедной и угнетённой женщины в мире социального дна.
-
D.
Nastya
Nastya is a tragic, idealistic young prostitute in Maxim Gorky’s play "The Lower Depths," known for her romantic fantasies and emotional vulnerability amid harsh social realities.
-
E.
Katya
Katya is a diminutive and affectionate form of the given name Catherine, commonly used in Slavic and other European cultures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fdbd731c819084dfff83b4481ae8 |
completed | April 7, 2026, 12:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d933a2daf481908300a12d0f794e4c |
completed | April 10, 2026, 5:30 p.m. |
Created at: April 6, 2026, 12:15 p.m.