Triple
T19858553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quino |
E477198
|
entity |
| Predicate | created |
P538
|
FINISHED |
| Object | Mafalda |
—
|
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: Mafalda | Statement: [Quino, created, Mafalda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mafalda Context triple: [Quino, created, Mafalda]
-
A.
Mafalda
Mafalda is a princess of the House of Savoy, best known as the daughter of King Victor Emmanuel III of Italy and for her tragic death in a Nazi concentration camp during World War II.
-
B.
Mafalda
chosen
Mafalda is an iconic Argentine comic strip character—a sharp, socially conscious little girl—created by cartoonist Quino, known for her humorous yet critical reflections on politics and society.
-
C.
Eliana
Eliana is a feminine given name of Hebrew and Latin origin, often interpreted to mean "God has answered" or "my God has answered."
-
D.
Marlen
Marlen is a village district of the town of Kehl in the German state of Baden-Württemberg.
-
E.
Marcela
Marcela is one of the given names of Alexia Juliana Marcela Laurentien, a member of the Dutch royal family.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6586dbbf0819089e7157d416aeaaf |
completed | April 20, 2026, 4:46 p.m. |
Created at: April 10, 2026, 1:51 p.m.