Triple
T19858655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federico García Lorca |
E477200
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Mariana Pineda |
—
|
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: Mariana Pineda | Statement: [Federico García Lorca, notableWork, Mariana Pineda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mariana Pineda Context triple: [Federico García Lorca, notableWork, Mariana Pineda]
-
A.
Mariana Pineda
chosen
Mariana Pineda is a historical drama play by Federico García Lorca that portrays the life and execution of the 19th-century Spanish liberal heroine of the same name.
-
B.
María Pimentel
María Pimentel was a Spanish noblewoman best known as the mother of Gaspar de Guzmán, the powerful Count-Duke of Olivares and chief minister to King Philip IV of Spain.
-
C.
Dolores Zorreguieta
Dolores Zorreguieta is an Argentine psychologist and the younger sister of Queen Máxima of the Netherlands.
-
D.
María Barranco
María Barranco is a Spanish actress best known for her work in Pedro Almodóvar’s films and for her acclaimed performances in late-20th-century Spanish cinema.
-
E.
Margarita Sanz
Margarita Sanz is a Mexican actress known for her acclaimed performances in film, television, and theater, often portraying complex, emotionally rich characters.
- 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.