Triple
T10722577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katy Jurado |
E252858
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Jurado
Jurado is a Spanish-language surname most famously associated with Mexican actress Katy Jurado, known for her roles in classic Western films.
|
E882195
|
NE FINISHED |
How this triple was built (4 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: [Katy Jurado, familyName, Jurado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jurado Context triple: [Katy Jurado, familyName, Jurado]
-
A.
Jüri
Jüri is a small settlement in northern Estonia that serves as the administrative hub of Rae Parish in Harju County.
-
B.
The Jury
The Jury is an American legal drama television series that presents criminal trials from the perspective of the jurors deliberating the cases.
-
C.
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.
-
D.
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.
-
E.
Juror 9
Juror 9 is the elderly, observant juror in "12 Angry Men" who plays a key role in challenging assumptions and supporting a careful reexamination of the evidence.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jurado Triple: [Katy Jurado, familyName, Jurado]
Generated description
Jurado is a Spanish-language surname most famously associated with Mexican actress Katy Jurado, known for her roles in classic Western films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jurado Target entity description: Jurado is a Spanish-language surname most famously associated with Mexican actress Katy Jurado, known for her roles in classic Western films.
-
A.
Jüri
Jüri is a small settlement in northern Estonia that serves as the administrative hub of Rae Parish in Harju County.
-
B.
The Jury
The Jury is an American legal drama television series that presents criminal trials from the perspective of the jurors deliberating the cases.
-
C.
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.
-
D.
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.
-
E.
Juror 9
Juror 9 is the elderly, observant juror in "12 Angry Men" who plays a key role in challenging assumptions and supporting a careful reexamination of the evidence.
- F. None of above. chosen
Provenance (5 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70d44d0048190a78aae2357e864a5 |
completed | April 9, 2026, 2:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb738f8488190837a675b82ce75aa |
completed | April 12, 2026, 3:16 p.m. |
| NEDg | Description generation | batch_69dbbbe545748190b2bdbc3a75224eb0 |
completed | April 12, 2026, 3:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dbc59b315081909362892f5b989d25 |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 8, 2026, 9:13 p.m.