Triple
T20752374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anastasia |
E510756
|
entity |
| Predicate | scriptForm |
P9329
|
FINISHED |
| Object | Anastasia (Latin alphabet) |
—
|
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: Anastasia (Latin alphabet) | Statement: [Anastasia, scriptForm, Anastasia (Latin alphabet)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anastasia (Latin alphabet) Context triple: [Anastasia, scriptForm, Anastasia (Latin alphabet)]
-
A.
Anastazy
Anastazy is a masculine given name of Polish origin, historically borne by several notable figures including nobles and clergy.
-
B.
Ino Anastasia
Ino Anastasia was a Byzantine empress consort of Emperor Tiberius II Constantine in the late 6th century.
-
C.
Anastas
Anastas is a masculine given name most notably borne by Soviet statesman Anastas Mikoyan.
-
D.
Anastasie
Anastasie is the given name of Anastasie de Lafayette, a French noblewoman associated with the influential Lafayette family.
-
E.
Anastasia
chosen
Anastasia is a feminine given name of Greek origin, widely used in Slavic and other cultures and traditionally associated with the meaning "resurrection."
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c22be6588190b137193cb3184fc0 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:34 p.m.