Triple
T22496824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew |
E556162
|
entity |
| Predicate | equivalentNameInLanguage |
P63334
|
FINISHED |
| Object | Matteo (Italian) |
—
|
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: Matteo (Italian) | Statement: [Matthew, equivalentNameInLanguage, Matteo (Italian)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matteo (Italian) Context triple: [Matthew, equivalentNameInLanguage, Matteo (Italian)]
-
A.
de Matteo
de Matteo is the Italian surname of American actress Drea de Matteo, known for her roles in series like "The Sopranos" and "Desperate Housewives."
-
B.
Gabriele (Italian)
Gabriele is the Italian form of the given name Gabriel, commonly used for males in Italy.
-
C.
Mattia
Mattia is an Italian given name, commonly used as a masculine first name in Italy and other Italian-speaking communities.
-
D.
Matteo
chosen
Matteo is the Italian given name equivalent to Matthew, commonly used in Italy and other Italian-speaking communities.
-
E.
Tommaso
Tommaso is a semi-autobiographical 2019 drama film by Abel Ferrara starring Willem Dafoe as a filmmaker confronting addiction, creativity, and personal turmoil in Rome.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb2644c819094864bd88bcebcbd |
completed | April 29, 2026, 1:19 a.m. |
Created at: April 16, 2026, 8:50 p.m.