Triple
T22240349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | da Silva Santos |
E549701
|
entity |
| Predicate | isCompoundOf |
P3980
|
FINISHED |
| Object | Silva |
—
|
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: Silva | Statement: [da Silva Santos, isCompoundOf, Silva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silva Context triple: [da Silva Santos, isCompoundOf, Silva]
-
A.
Silva
chosen
Silva is a common Portuguese-language surname borne by many notable individuals across sports, politics, arts, and other fields worldwide.
-
B.
Silva Vacarro
Silva Vacarro is a central character in Tennessee Williams' play "Baby Doll," depicted as a shrewd, seductive Sicilian businessman who becomes entangled in a tense psychological and sexual power struggle.
-
C.
Sylvio
Sylvio is a masculine given name, often used in Romance-language countries and associated with the variant "Silvio."
-
D.
Jackson Silva
Jackson Silva is a fictional jockey who serves as the central protagonist in a narrative focused on horse racing.
-
E.
Bigfoot Silva
Bigfoot Silva is Antônio "Bigfoot" Silva, a Brazilian mixed martial artist and heavyweight veteran known for his fights in major promotions like the UFC and Strikeforce.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f132133b908190b0fb32a5ee68e1e6 |
completed | April 28, 2026, 10:17 p.m. |
Created at: April 16, 2026, 8:38 p.m.