Triple
T31348694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhenya Lukashin |
E799522
|
entity |
| Predicate | fiancéeAtStartOfFilm |
P97856
|
FINISHED |
| Object | Galya |
—
|
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: Galya | Statement: [Zhenya Lukashin, fiancéeAtStartOfFilm, Galya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fiancéeAtStartOfFilm Context triple: [Zhenya Lukashin, fiancéeAtStartOfFilm, Galya]
-
A.
isFianceeOf
chosen
Indicates that one person is the engaged-to-be-married partner of another person.
-
B.
fiancéePortrayedBy
Indicates that a character’s fiancée is depicted or played by a specific actor or performer.
-
C.
formerFiancéeOf
Indicates that one person was previously engaged to be married to another person, but the engagement has since ended.
-
D.
fiancéeLaterMarried
Indicates that a person who was once engaged to another person later went on to marry that same individual.
-
E.
hasFianceeOfSonAsLover
Indicates that a person is in a romantic or sexual relationship with their son’s fiancée.
- F. None of above.
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_69f224e51614819083141459a080e97c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f1aa9288190acf961c1ed89938f |
completed | May 3, 2026, 1:04 a.m. |
| PD | Predicate disambiguation | batch_69f69d1d25e88190a7f57d323574da90 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:17 p.m.