Triple
T13704680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Oistrakh |
E328608
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Tamara Rotareva
Tamara Rotareva was the wife of renowned Soviet violinist David Oistrakh.
|
E1056907
|
NE FINISHED |
How this triple was built (4 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 Rotareva | Statement: [David Oistrakh, spouse, Tamara Rotareva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamara Rotareva Context triple: [David Oistrakh, spouse, Tamara Rotareva]
-
A.
Tamara Ogorodnikova
Tamara Ogorodnikova is a Soviet film producer best known for her work on Andrei Tarkovsky’s acclaimed historical drama "Andrei Rublev" (1966).
-
B.
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.
-
C.
Roksana Makariova
Roksana Makariova was the wife of renowned Soviet film director and theorist Vsevolod Pudovkin.
-
D.
Katja Koroleva
Katja Koroleva is an American soccer referee known for officiating at the highest levels of women’s professional and international football.
-
E.
Anjelika Krylova
Anjelika Krylova is a Russian former ice dancer and world champion known for her successful competitive career in the 1990s with partner Oleg Ovsyannikov.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tamara Rotareva Triple: [David Oistrakh, spouse, Tamara Rotareva]
Generated description
Tamara Rotareva was the wife of renowned Soviet violinist David Oistrakh.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tamara Rotareva Target entity description: Tamara Rotareva was the wife of renowned Soviet violinist David Oistrakh.
-
A.
Tamara Ogorodnikova
Tamara Ogorodnikova is a Soviet film producer best known for her work on Andrei Tarkovsky’s acclaimed historical drama "Andrei Rublev" (1966).
-
B.
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.
-
C.
Roksana Makariova
Roksana Makariova was the wife of renowned Soviet film director and theorist Vsevolod Pudovkin.
-
D.
Katja Koroleva
Katja Koroleva is an American soccer referee known for officiating at the highest levels of women’s professional and international football.
-
E.
Anjelika Krylova
Anjelika Krylova is a Russian former ice dancer and world champion known for her successful competitive career in the 1990s with partner Oleg Ovsyannikov.
- F. None of above. chosen
Provenance (5 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad17732c8190bbd0d73107711c99 |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d50f34c8190ac5b4e09ab57baa9 |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f79e77b5e88190a85f4061c8abb8a4 |
completed | May 3, 2026, 7:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79fa5249481909b2c046ed9801371 |
completed | May 3, 2026, 7:19 p.m. |
Created at: April 9, 2026, 9:54 p.m.