Triple
T14786014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jurado Barrio |
E347525
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Jurado |
E882195
|
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: Jurado | Statement: [Jurado Barrio, hasComponent, Jurado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jurado Context triple: [Jurado Barrio, hasComponent, Jurado]
-
A.
Jurado
chosen
Jurado is a Spanish-language surname most famously associated with Mexican actress Katy Jurado, known for her roles in classic Western films.
-
B.
Jüri
Jüri is a small settlement in northern Estonia that serves as the administrative hub of Rae Parish in Harju County.
-
C.
The Jury
The Jury is an American legal drama television series that presents criminal trials from the perspective of the jurors deliberating the cases.
-
D.
The Jury
The Jury is a British television legal drama series that follows the lives and dilemmas of jurors involved in high-profile court cases.
-
E.
The Judge
*The Judge* is a 2014 American legal drama film starring Robert Downey Jr. and Robert Duvall, centered on a big-city lawyer who returns to his hometown to defend his estranged father, a respected judge, against a murder charge.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decaa083e481908336d58d026eec32 |
completed | April 14, 2026, 11:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24b816388190be1127fe34a58d1d |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:31 a.m.