Triple
T21961582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | María |
E542342
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Marita |
—
|
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: Marita | Statement: [María, hasDiminutive, Marita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marita Context triple: [María, hasDiminutive, Marita]
-
A.
Marita
chosen
Marita is a feminine given name commonly used as a diminutive or affectionate form of the name Marie in various European languages.
-
B.
Marisabel
Marisabel is a feminine given name of Spanish origin, commonly used in Spanish-speaking countries.
-
C.
Marcela
Marcela is one of the given names of Alexia Juliana Marcela Laurentien, a member of the Dutch royal family.
-
D.
Gabriela
Gabriela is a key character in Paulo Coelho’s novel "The Winner Stands Alone," representing the struggles and aspirations of an ambitious actress navigating the superficial world of fame and celebrity.
-
E.
Gabriela
Gabriela is a Brazilian romantic drama film directed by Bruno Barreto, adapted from Jorge Amado’s novel about a free-spirited migrant woman who transforms life in a small coastal town.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f124572738819098cc669aafa53cc6 |
completed | April 28, 2026, 9:19 p.m. |
Created at: April 16, 2026, 8 p.m.