Triple
T15547209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esteban Vicente |
E370642
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Esteban Vicente |
—
|
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: Esteban Vicente | Statement: [Esteban Vicente, name, Esteban Vicente]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esteban Vicente Context triple: [Esteban Vicente, name, Esteban Vicente]
-
A.
Esteban Vicente
chosen
Esteban Vicente was a Spanish-born American abstract expressionist painter and collage artist associated with the New York School.
-
B.
Julio Fernández
Julio Fernández is a film producer best known for his work on the psychological thriller "The Machinist."
-
C.
Fernando Salmerón
Fernando Salmerón was a Mexican philosopher and academic known for his contributions to ethics, education, and the development of philosophical thought in Mexico.
-
D.
Fernando Aguirre
Fernando Aguirre is a character in the 1952 biographical film "Viva Zapata!" about the Mexican revolutionary leader Emiliano Zapata.
-
E.
Fernando Aguirre
Fernando Aguirre is a businessman and sports executive best known for his leadership roles in major companies and ownership involvement in professional baseball.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a9073948190b6e9cf504aacc7cf |
completed | April 16, 2026, 2:33 a.m. |
Created at: April 10, 2026, 4:08 a.m.