Triple
T19564192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rita Macedo |
E489535
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | María Esperanza |
—
|
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: María Esperanza | Statement: [Rita Macedo, givenName, María Esperanza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: María Esperanza Context triple: [Rita Macedo, givenName, María Esperanza]
-
A.
María Esperanza Macedo Gutiérrez
chosen
María Esperanza Macedo Gutiérrez, better known as Rita Macedo, was a prominent Mexican film and television actress active during the mid-20th century.
-
B.
María Elena
María Elena is a small Chilean mining town in the Antofagasta Region, historically known as one of the last nitrate (saltpeter) company towns in the world.
-
C.
María Elena
María Elena is a passionate, volatile Spanish artist portrayed by Penélope Cruz in the film "Vicky Cristina Barcelona."
-
D.
María del Rosario
María del Rosario is the given name of Cayetana Fitz-James Stuart, the 18th Duchess of Alba, a prominent Spanish aristocrat known for holding a record number of noble titles.
-
E.
Luisa Castro
Luisa Castro is a central character in the Spanish mystery-drama television series "High Seas," which follows intrigue and secrets aboard a transatlantic ocean liner in the 1940s.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f76b220819096e668534c6bac67 |
completed | April 20, 2026, 3 p.m. |
Created at: April 10, 2026, 1:42 p.m.