Triple
T9794334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maximilian Schell |
E237680
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Natalya Andrejchenko
Natalya Andrejchenko is a Russian actress best known for her title role in the 1984 Soviet film "Mary Poppins, Goodbye."
|
E896397
|
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: Natalya Andrejchenko | Statement: [Maximilian Schell, spouse, Natalya Andrejchenko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Natalya Andrejchenko Context triple: [Maximilian Schell, spouse, Natalya Andrejchenko]
-
A.
Natalia Staritskaya
Natalia Staritskaya was the wife of prominent Russian and Soviet scientist Vladimir Vernadsky, known for her role in his personal and family life.
-
B.
Alexandra Velyaminova
Alexandra Velyaminova was a Russian noblewoman of the 14th century, best known as the mother of Grand Prince Dmitry Donskoy of Moscow.
-
C.
Tatjana Masurenko
Tatjana Masurenko is a distinguished violist and pedagogue known for her international solo career and influential teaching in Europe.
-
D.
Natalia Bestemianova
Natalia Bestemianova is a former Soviet ice dancer and Olympic champion renowned for her dramatic, expressive style and multiple World and European titles with partner Andrei Bukin.
-
E.
Elena Kulik
Elena Kulik is a Russian figure skater known for competing internationally in the 1990s.
- 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: Natalya Andrejchenko Triple: [Maximilian Schell, spouse, Natalya Andrejchenko]
Generated description
Natalya Andrejchenko is a Russian actress best known for her title role in the 1984 Soviet film "Mary Poppins, Goodbye."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Natalya Andrejchenko Target entity description: Natalya Andrejchenko is a Russian actress best known for her title role in the 1984 Soviet film "Mary Poppins, Goodbye."
-
A.
Natalia Staritskaya
Natalia Staritskaya was the wife of prominent Russian and Soviet scientist Vladimir Vernadsky, known for her role in his personal and family life.
-
B.
Alexandra Velyaminova
Alexandra Velyaminova was a Russian noblewoman of the 14th century, best known as the mother of Grand Prince Dmitry Donskoy of Moscow.
-
C.
Tatjana Masurenko
Tatjana Masurenko is a distinguished violist and pedagogue known for her international solo career and influential teaching in Europe.
-
D.
Natalia Bestemianova
Natalia Bestemianova is a former Soviet ice dancer and Olympic champion renowned for her dramatic, expressive style and multiple World and European titles with partner Andrei Bukin.
-
E.
Elena Kulik
Elena Kulik is a Russian figure skater known for competing internationally in the 1990s.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda347b6bc8190a99b7dec1650cd46 |
completed | April 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d62cce008190ae269bbd289625a0 |
completed | April 18, 2026, 12:54 a.m. |
| NEDg | Description generation | batch_69e2fab58f588190ae2d33f32e71333b |
completed | April 18, 2026, 3:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e317809c0881909e793db965194014 |
completed | April 18, 2026, 5:32 a.m. |
Created at: March 30, 2026, 8:28 p.m.