Triple
T22779840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tadeu Schmidt |
E563803
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Tadeu |
—
|
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: Tadeu | Statement: [Tadeu Schmidt, givenName, Tadeu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tadeu Context triple: [Tadeu Schmidt, givenName, Tadeu]
-
A.
Tadeu
chosen
Tadeu is a given name, primarily used in Portuguese-speaking countries, that is a variant of the name Tadeusz.
-
B.
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.
-
C.
Heitor
Heitor is the given name of the renowned Brazilian composer Heitor Villa-Lobos, a key figure in 20th-century classical music.
-
D.
Andrade
Andrade is a common Portuguese and Spanish surname borne by numerous notable figures across fields such as sports, politics, and the arts.
-
E.
Guilherme
Guilherme is the Portuguese form of the given name William, commonly used in Portuguese-speaking countries.
- 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b63d348819085668e3d9ac78ffa |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:28 p.m.