Triple
T20812198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Álvaro Elizalde |
E512340
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Álvaro Elizalde |
—
|
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: Álvaro Elizalde | Statement: [Álvaro Elizalde, name, Álvaro Elizalde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Álvaro Elizalde Context triple: [Álvaro Elizalde, name, Álvaro Elizalde]
-
A.
Álvaro Elizalde
chosen
Álvaro Elizalde is a Chilean socialist politician who has held prominent leadership roles in the Socialist Party and served in high-level government positions.
-
B.
Diego Calva
Diego Calva is a Mexican actor best known internationally for his breakout leading role in Damien Chazelle’s 2022 Hollywood epic "Babylon."
-
C.
Mike Elizalde
Mike Elizalde is a renowned special effects artist and creature designer, best known for his practical makeup and animatronic work on major Hollywood films.
-
D.
Federico Landeros
Federico Landeros is a film editor best known for his work on Alejandro Jodorowsky’s influential avant-garde Western "El Topo."
-
E.
Álvaro Augustin
Álvaro Augustin is a Spanish film producer known for his work on acclaimed features such as the disaster drama "The Impossible."
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d338ac819096d4a33de831609e |
completed | April 21, 2026, 12:20 a.m. |
Created at: April 16, 2026, 12:40 p.m.