Triple
T20989111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fortitude |
E516969
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Verónica Echegui |
—
|
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: Verónica Echegui | Statement: [Fortitude, stars, Verónica Echegui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verónica Echegui Context triple: [Fortitude, stars, Verónica Echegui]
-
A.
Verónica Echegui
chosen
Verónica Echegui is a Spanish actress known for her work in both Spanish cinema and international films.
-
B.
Verónica Loza
Verónica Loza is a Uruguayan visual artist and performer best known for her multimedia and live visual work with the electronic tango collective Bajofondo.
-
C.
Cecilia Echenique
Cecilia Echenique is a Chilean singer and songwriter known for her work in folk and popular music since the 1980s.
-
D.
Verónica del Castillo
Verónica del Castillo is a Mexican journalist and television host, known both for her media work and as the sister of actress Kate del Castillo.
-
E.
Catalina Álvarez
Catalina Álvarez is a Colombian fashion designer and entrepreneur best known as the co-founder of the swimwear and resortwear brand Agua Bendita.
- 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_69e0b4ffac148190bbade9f0eceb660b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fbe5208c8190b8b843b3778589d3 |
completed | April 21, 2026, 4:24 a.m. |
Created at: April 16, 2026, 1:49 p.m.