Triple
T9865130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jon Sobrino |
E239812
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jon Sobrino |
E239812
|
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 Sobrino | Statement: [Jon Sobrino, name, Jon Sobrino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Sobrino Context triple: [Jon Sobrino, name, Jon Sobrino]
-
A.
Jon Sobrino
chosen
Jon Sobrino is a Spanish-born Jesuit priest and theologian known as a leading proponent of Latin American liberation theology and its focus on the poor and oppressed.
-
B.
Jesús Soto
Jesús Soto was a Venezuelan kinetic and op art pioneer known for his immersive, perception-challenging installations and sculptures that explore movement, vibration, and viewer interaction.
-
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.
Juan Barroso
Juan Barroso is a person notable enough to be specifically cited as a bearer of the surname Barroso.
-
E.
Gonzalo Menendez
Gonzalo Menendez is an American actor known for his supporting roles in film and television, including appearances in action, drama, and science fiction projects.
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3ba7f288190a15ebec2cc3112c4 |
completed | April 2, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23d09790c8190be161d2dbef2e881 |
completed | April 5, 2026, 10:44 a.m. |
Created at: March 30, 2026, 8:36 p.m.