Triple
T23435177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria Justice |
E563440
|
entity |
| Predicate | portrayedCharacter |
P1668
|
FINISHED |
| Object | Tori Vega |
E656804
|
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: Tori Vega | Statement: [Victoria Justice, portrayedCharacter, Tori Vega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tori Vega Context triple: [Victoria Justice, portrayedCharacter, Tori Vega]
-
A.
Tori Vega
chosen
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.
-
B.
Tori
Tori is a common diminutive or nickname for the given name Victoria.
-
C.
Tori
Tori is the protagonist of the fantasy film "Neverwas," around whom the story’s central mysteries and emotional journey revolve.
-
D.
Makenzie Vega
Makenzie Vega is an American actress best known for her role as Grace Florrick on the television legal drama "The Good Wife."
-
E.
Alexa Vega
Alexa Vega is an American actress and singer best known for playing Carmen Cortez in the Spy Kids film series.
- 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5daabcc819094446a80723a487b |
completed | April 29, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c824940608190b47742c2733a206d |
completed | May 19, 2026, 3:31 p.m. |
Created at: April 17, 2026, 5:50 p.m.