Triple
T23147917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirta Roses Periago |
E578243
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Mirta |
E139653
|
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: Mirta | Statement: [Mirta Roses Periago, givenName, Mirta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mirta Context triple: [Mirta Roses Periago, givenName, Mirta]
-
A.
Mirta
chosen
Mirta is a feminine given name of Spanish origin commonly used in Spanish-speaking countries.
-
B.
Graciela
Graciela is a feminine given name of Spanish origin, often considered a variant of Graziella and related to the concept of grace.
-
C.
Marcela
Marcela is one of the given names of Alexia Juliana Marcela Laurentien, a member of the Dutch royal family.
-
D.
Marisabel
Marisabel is a feminine given name of Spanish origin, commonly used in Spanish-speaking countries.
-
E.
Rosita
Rosita is a shy but talented pig and devoted mother who becomes a standout performer in the animated musical film "Sing."
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ecf9e9881908991ede784158f1e |
completed | April 29, 2026, 4:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c30963b3c8190a4ffb48b03fbf77a |
completed | May 19, 2026, 9:42 a.m. |
Created at: April 17, 2026, 4:01 p.m.