Triple
T22883030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bea |
E567525
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Beatriz |
—
|
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: Beatriz | Statement: [Bea, relatedName, Beatriz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beatriz Context triple: [Bea, relatedName, Beatriz]
-
A.
Beatriz
Beatriz is a surname most notably associated with actress Stephanie Beatriz, known for her role as Rosa Diaz on the television series "Brooklyn Nine-Nine."
-
B.
Beatriz
Beatriz is the empathetic, socially conscious holistic healer and protagonist of the film "Beatriz at Dinner," whose moral convictions clash with the privileged guests at a wealthy client’s dinner party.
-
C.
Beatriz
Beatriz is a rural barrio (district) of the municipality of Caguas in Puerto Rico.
-
D.
Beatriz
Beatriz is a central fictional character in Julio Cortázar’s politically charged novel "Libro de Manuel," embodying the personal and ideological tensions of its revolutionary milieu.
-
E.
Beatriz
chosen
Beatriz is a feminine given name of Latin origin, commonly used in Portuguese- and Spanish-speaking countries and associated with the meaning "bringer of joy" or "she who brings happiness."
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f5dab048190a09c725dad123472 |
completed | April 29, 2026, 3:47 a.m. |
Created at: April 17, 2026, 3:39 p.m.