Triple
T13965193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gitte Nielsen |
E335903
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Mattia Dessi |
E333507
|
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: Mattia Dessi | Statement: [Gitte Nielsen, spouse, Mattia Dessi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mattia Dessi Context triple: [Gitte Nielsen, spouse, Mattia Dessi]
-
A.
Mattia Dessi
chosen
Mattia Dessi is an Italian former model and television personality best known as the husband of actress and model Brigitte Nielsen.
-
B.
Mattia Verazi
Mattia Verazi was an 18th-century Italian librettist known for his innovative and often reformist opera texts, including the libretto for Antonio Salieri’s "Europa riconosciuta."
-
C.
Luca Dotti
Luca Dotti is an Italian author and graphic designer best known as the younger son of iconic actress Audrey Hepburn and Italian psychiatrist Andrea Dotti.
-
D.
Luca Trezza
Luca Trezza is an Italian actor known for his role in the film "La cena di Natale."
-
E.
Luca Bigazzi
Luca Bigazzi is an acclaimed Italian cinematographer known for his visually striking work on contemporary Italian cinema, including multiple collaborations with director Paolo Sorrentino.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e7e24f08190ba939a8044860033 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e72b9f08190a33e8e20541edd21 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 9, 2026, 10:18 p.m.