Triple
T20370864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irina Yelchin |
E497047
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Love, Antosha |
—
|
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: Love, Antosha | Statement: [Irina Yelchin, notableWork, Love, Antosha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love, Antosha Context triple: [Irina Yelchin, notableWork, Love, Antosha]
-
A.
Love, Antosha
chosen
Love, Antosha is a 2019 documentary film that chronicles the life and career of actor Anton Yelchin through home videos, interviews, and personal writings.
-
B.
Larina
Larina is a Russian surname most notably borne by Anna Larina, the widow of Bolshevik leader Nikolai Bukharin.
-
C.
My Friend Ivan Lapshin
My Friend Ivan Lapshin is a 1984 Soviet drama film by director Aleksei German, acclaimed for its atmospheric black-and-white portrayal of life in a provincial town in the pre–World War II Stalinist era.
-
D.
Yuriatin
Yuriatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Yuri Zhivago’s life and relationships.
-
E.
The Russian Bride
"The Russian Bride" is a work associated with British actress and author Sheila Hancock, likely a novel or written piece reflecting her storytelling and dramatic sensibilities.
- 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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678758b98819082c6440e03ad1615 |
completed | April 20, 2026, 7:03 p.m. |
Created at: April 16, 2026, 11:26 a.m.