Triple
T22672871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loreak |
E560266
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Jon Garaño |
—
|
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: Jon Garaño | Statement: [Loreak, writer, Jon Garaño]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Garaño Context triple: [Loreak, writer, Jon Garaño]
-
A.
Jon Garaño
chosen
Jon Garaño is a Spanish film director and screenwriter known for his visually poetic, character-driven dramas such as the acclaimed Basque-language film "Loreak."
-
B.
Greg Giraldo
Greg Giraldo was an American stand-up comedian and television personality known for his sharp, acerbic wit and frequent appearances on Comedy Central roasts and panel shows.
-
C.
Gene Quintano
Gene Quintano is an American screenwriter, director, and producer best known for his work on action-comedy films such as the Police Academy series and other Hollywood genre movies.
-
D.
Jon Huertas
Jon Huertas is an American actor best known for his role as NYPD Detective Javier Esposito on the television series "Castle."
-
E.
Joe Gonzalez
Joe Gonzalez is a Colombian businessman best known as the first husband of actress and model Sofía Vergara.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17821daf88190b18a73a222fc22fb |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 17, 2026, 3:10 p.m.