Triple
T1274344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diego |
E15778
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Thiago |
E17210
|
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: Thiago | Statement: [Diego, hasCognate, Thiago]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thiago Context triple: [Diego, hasCognate, Thiago]
-
A.
Álvaro
Álvaro is a masculine given name of Spanish origin commonly used in Spain and Latin America.
-
B.
Marcelo
Marcelo is a common Portuguese and Spanish given name, notably borne by figures such as Brazilian footballer Marcelo Vieira and former Portuguese Prime Minister Marcelo Caetano.
-
C.
Daniel Boaventura
Daniel Boaventura is a Brazilian singer and actor known for his smooth vocal style and performances of classic international songs.
-
D.
Tiago
chosen
Tiago is a masculine given name commonly used in Portuguese-speaking countries, often considered a variant of the name James.
-
E.
Ruiz
Ruiz is a common Spanish-language surname borne by many notable individuals across sports, arts, and public life.
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c06ee22081908141868b57596e35 |
completed | March 1, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac998f32c8819084208d1ecfb6c4df |
completed | March 7, 2026, 9:33 p.m. |
Created at: March 1, 2026, 7:50 p.m.