Triple
T21218158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mariya Blagovidova |
E522891
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Mariya |
—
|
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: Mariya | Statement: [Mariya Blagovidova, givenName, Mariya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mariya Context triple: [Mariya Blagovidova, givenName, Mariya]
-
A.
Mirra
Mirra is a tragic play by Italian dramatist Vittorio Alfieri that dramatizes the tormented, taboo love of its heroine for her father.
-
B.
Mirra
Mirra is an iRobot-designed robotic pool cleaner that autonomously scrubs and vacuums swimming pools.
-
C.
Marya
chosen
Marya is a feminine given name, often considered a variant of Mary and used in various cultures and languages.
-
D.
Nadya
Nadya is a feminine given name, often used as a diminutive of Nadezhda in Slavic cultures.
-
E.
Aloysya
Aloysya is a given name, typically a feminine variant of Aloysius, used in various cultures and languages.
- 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_69e0b511ed84819099b449b4a111085c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7347613308190a1c9f4ea51591d4b |
completed | April 21, 2026, 8:25 a.m. |
Created at: April 16, 2026, 3:42 p.m.