Triple
T12859062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Finch |
E307535
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Tamara Tchinarova |
E307538
|
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: Tamara Tchinarova | Statement: [Peter Finch, spouse, Tamara Tchinarova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamara Tchinarova Context triple: [Peter Finch, spouse, Tamara Tchinarova]
-
A.
Tamara Tchinarova
chosen
Tamara Tchinarova was a Russian-born Australian ballerina and choreographer who became known both for her work with the Ballets Russes and for her later life in the Australian arts scene.
-
B.
Tania Chernova
Tania Chernova is a Soviet sniper and love interest of Vasily Zaitsev portrayed in the World War II film "Enemy at the Gates."
-
C.
Tamara Ogorodnikova
Tamara Ogorodnikova is a Soviet film producer best known for her work on Andrei Tarkovsky’s acclaimed historical drama "Andrei Rublev" (1966).
-
D.
Elizaveta Svilova
Elizaveta Svilova was a pioneering Soviet film editor and documentarian best known for her innovative montage work in early avant-garde cinema.
-
E.
Tamara Motyleva
Tamara Motyleva is a screenwriter best known for her work on the 1956 Soviet film "Mother," an adaptation of Maxim Gorky's novel.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970242bd48190941cbae0315ebc3d |
completed | April 10, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a54ce34c819080ef09ec040a4dbb |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 9, 2026, 5:37 p.m.