Triple
T14659839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Carin Cavazos |
E344207
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Julia Carin Cavazos |
E344207
|
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: Julia Carin Cavazos | Statement: [Julia Carin Cavazos, name, Julia Carin Cavazos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julia Carin Cavazos Context triple: [Julia Carin Cavazos, name, Julia Carin Cavazos]
-
A.
Julia Carin Cavazos
chosen
Julia Carin Cavazos, known professionally as Julia Michaels, is an American singer-songwriter recognized for her solo pop hits and for writing chart-topping songs for numerous major artists.
-
B.
Lumi Cavazos
Lumi Cavazos is a Mexican actress best known internationally for her acclaimed role in the film "Like Water for Chocolate."
-
C.
Lupe Valdez
Lupe Valdez is an American politician and former Dallas County sheriff who became the Democratic nominee for governor of Texas in 2018.
-
D.
Laura Kelly
Laura Kelly is an American Democratic politician serving as the governor of Kansas.
-
E.
Pilar Rubio
Pilar Rubio is a Spanish television presenter, reporter, and model known for her work on various entertainment programs in Spain.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51b6a248190a44050c0e0ec2d16 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5e28f848190a3d686bc11336601 |
completed | May 8, 2026, 12:24 p.m. |
Created at: April 10, 2026, 1:27 a.m.