Triple
T7288949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victorious |
E163943
|
entity |
| Predicate | protagonist |
P268
|
FINISHED |
| Object | Tori Vega |
E563436
|
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: [Victorious, protagonist, Tori Vega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tori Vega Context triple: [Victorious, protagonist, Tori Vega]
-
A.
Tori
chosen
Tori is a common diminutive or nickname for the given name Victoria.
-
B.
Alexa Vega
Alexa Vega is an American actress and singer best known for playing Carmen Cortez in the Spy Kids film series.
-
C.
Toni Vega
Toni Vega is a musical artist known for contributing featured vocals to tracks such as "Monkey Business."
-
D.
Tina Majorino
Tina Majorino is an American actress known for her roles as a child and adult in films and television series such as "Waterworld," "Napoleon Dynamite," and "Veronica Mars."
-
E.
Virginia Troy
Virginia Troy is a central female character in Evelyn Waugh’s "Sword of Honour" trilogy, representing moral integrity and emotional resilience amid the absurdities and tragedies of World War II.
- 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb6bde448190b52852c916a8059d |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e53ab41c8190b081e90fa6a1145c |
completed | March 28, 2026, 2:27 p.m. |
Created at: March 27, 2026, 3 p.m.