Triple
T33145543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Γιώργος Πετρίδης |
E848280
|
entity |
| Predicate | σύζυγος_διεθνώς_αναγνωρισμένης_τραγουδίστριας |
P33561
|
FINISHED |
| Object | Νάνα Μούσχουρη |
—
|
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: Νάνα Μούσχουρη | Statement: [Γιώργος Πετρίδης, σύζυγος_διεθνώς_αναγνωρισμένης_τραγουδίστριας, Νάνα Μούσχουρη]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: σύζυγος_διεθνώς_αναγνωρισμένης_τραγουδίστριας Context triple: [Γιώργος Πετρίδης, σύζυγος_διεθνώς_αναγνωρισμένης_τραγουδίστριας, Νάνα Μούσχουρη]
-
A.
spouseOfCountry
Indicates that an entity is the spouse or marital partner of a person who is associated with, represents, or is from a specified country.
-
B.
spouseNotableSong
Indicates that a person’s spouse is notably associated with a particular song, such as by performing, writing, or being widely recognized for it.
-
C.
marriedToPoet
Indicates that one person is married to another person who is a poet.
-
D.
spouseAssociatedWith
chosen
Indicates a marital or spousal relationship or close association between two entities.
-
E.
allegedSpouseOf
Indicates a relationship where one person is claimed or reported to be the spouse of another, but the marital status is not legally or definitively confirmed.
- 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_69f3495a458c8190a1d34b237ba0be3f |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:28 a.m.