Triple
T8634333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toni Vega |
E204482
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Toni Vega |
E204482
|
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: Toni Vega | Statement: [Toni Vega, name, Toni Vega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toni Vega Context triple: [Toni Vega, name, Toni Vega]
-
A.
Toni Vega
chosen
Toni Vega is a musical artist known for contributing featured vocals to tracks such as "Monkey Business."
-
B.
Leona Vicario
Leona Vicario was a prominent Mexican independence heroine, journalist, and supporter of the insurgent cause against Spanish rule in the early 19th century.
-
C.
Tori Vega
Tori Vega is the musically talented and optimistic main protagonist of the Nickelodeon teen sitcom "Victorious," where she attends a performing arts high school and pursues her dreams of stardom.
-
D.
Vini Lopez
Vini Lopez is an American drummer best known as an original member of Bruce Springsteen's E Street Band, contributing to the group's early recordings and live performances.
-
E.
Carla Leone
Carla Leone was the wife of renowned Italian film director Sergio Leone.
- 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_69ca834b903c8190add96cc651e1a477 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc475fb9dc8190bd0d6e5edd05ea79 |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebc1b330c81909ff8a6806401dfd1 |
completed | April 2, 2026, 6:57 p.m. |
Created at: March 30, 2026, 6:27 p.m.