Triple
T22707198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varykino |
E561487
|
entity |
| Predicate | associatedWithCharacter |
P1481
|
FINISHED |
| Object | Tonya Gromeko |
—
|
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: Tonya Gromeko | Statement: [Varykino, associatedWithCharacter, Tonya Gromeko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tonya Gromeko Context triple: [Varykino, associatedWithCharacter, Tonya Gromeko]
-
A.
Tonya Gromeko
chosen
Tonya Gromeko is a central character in Boris Pasternak's novel "Doctor Zhivago," known as Yuri Zhivago's loyal and loving wife from a well-to-do Moscow family.
-
B.
Tonya Antonucci
Tonya Antonucci is a sports executive best known for serving as the founding commissioner of Women's Professional Soccer in the United States.
-
C.
Toni Gogin
Toni Gogin is a musician best known for her early involvement with the American indie rock band Sleater-Kinney.
-
D.
Greta Scarano
Greta Scarano is an Italian actress known for her prominent roles in contemporary Italian cinema and television, including crime and drama series.
-
E.
Gina Wendkos
Gina Wendkos is an American screenwriter best known for adapting Meg Cabot’s novel into the hit teen film "The Princess Diaries" and writing several other popular romantic comedies.
- 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178cff7588190a40c8cef0f3cd44a |
completed | April 29, 2026, 3:19 a.m. |
Created at: April 17, 2026, 3:17 p.m.