Triple
T23390327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joaquín Costa |
E593998
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Joaquín |
—
|
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: Joaquín | Statement: [Joaquín Costa, givenName, Joaquín]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joaquín Context triple: [Joaquín Costa, givenName, Joaquín]
-
A.
Joaquin
chosen
Joaquin is a masculine given name of Spanish origin, widely recognized through its association with acclaimed actor Joaquin Phoenix.
-
B.
Gabino Diego
Gabino Diego is a Spanish film and theater actor known for his roles in acclaimed Spanish cinema, particularly during the 1980s and 1990s.
-
C.
Joaquín Salvador Lavado Tejón
Joaquín Salvador Lavado Tejón, better known as Quino, was an Argentine cartoonist and humorist famed worldwide as the creator of the comic strip Mafalda.
-
D.
Alejandro Murrieta
Alejandro Murrieta is the young, hot-headed bandit who becomes the new Zorro under the mentorship of the original hero in the film "The Mask of Zorro."
-
E.
Freddy Juarez
Freddy Juarez is an American soccer coach and former player best known for his managerial role in Major League Soccer, including his tenure leading Real Salt Lake.
- 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a49bdfec8190afa592c66660c279 |
completed | April 29, 2026, 6:26 a.m. |
Created at: April 17, 2026, 5:35 p.m.