Triple
T19779951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mateusz |
E475103
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Matheus |
—
|
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: Matheus | Statement: [Mateusz, hasVariant, Matheus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matheus Context triple: [Mateusz, hasVariant, Matheus]
-
A.
Matheus
chosen
Matheus is a given name, commonly used in Portuguese-speaking countries, that is a variant of the name Matthew.
-
B.
Mateus
Mateus is a Portuguese surname commonly borne by individuals such as Rui Mateus.
-
C.
Murilo
Murilo is a small coral atoll in the Hall Islands of Chuuk State, Federated States of Micronesia, known for its traditional Micronesian community and remote Pacific setting.
-
D.
Leandro
Leandro is the given first name of Argentine jazz saxophonist and composer Gato Barbieri.
-
E.
Leandro
Leandro is a fictional character portrayed by British actor Ariyon Bakare, known from his work in film and television.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65382ff308190832800dd60675f7a |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.