Triple
T6216770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaká |
E139007
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ricardo |
E303673
|
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: Ricardo | Statement: [Kaká, givenName, Ricardo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ricardo Context triple: [Kaká, givenName, Ricardo]
-
A.
Ricardo
Ricardo is a surname most famously associated with David Ricardo, the influential 19th-century British political economist known for his work on comparative advantage and classical economics.
-
B.
Ricardo
chosen
Ricardo is a masculine given name of Spanish and Portuguese origin, equivalent to Richard in English.
-
C.
Ricard
Ricard is a popular French pastis brand of anise-flavored apéritif, widely associated with Mediterranean drinking culture.
-
D.
Eduardo
Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
-
E.
Federico
Federico is the Italian and Spanish form of the given name Frederick, commonly used in Romance-language countries.
- 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_69c008aecb0c81909984b48f733ce8ae |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062a1eb3881908c7f735cf9c429ce |
completed | March 22, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20db4e0ac8190ba7bca1f9d8ac6df |
completed | March 24, 2026, 4:06 a.m. |
Created at: March 22, 2026, 4:21 p.m.