Triple
T12869856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kortajarena |
E307819
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object | Jon Kortajarena |
E62615
|
NE FINISHED |
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 Kortajarena | Statement: [Kortajarena, notableBearer, Jon Kortajarena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Kortajarena Context triple: [Kortajarena, notableBearer, Jon Kortajarena]
-
A.
Jon Kortajarena
chosen
Jon Kortajarena is a Spanish model and actor known for his high-profile fashion campaigns and his film debut in Tom Ford’s drama "A Single Man."
-
B.
Anthony Ruivivar
Anthony Ruivivar is an American actor best known for his role as paramedic Carlos Nieto on the NBC drama series "Third Watch."
-
C.
Jon Huertas
Jon Huertas is an American actor best known for his role as NYPD Detective Javier Esposito on the television series "Castle."
-
D.
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.
-
E.
Roman Peña
Roman Peña is the son of American actor Michael Peña.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970905784819091631161a9de98c5 |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bb4b28c8190a4ec9cad4e1e0f05 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:38 p.m.