Triple
T7289043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victorious |
E163945
|
entity |
| Predicate | mainCastMember |
P5563
|
FINISHED |
| Object | Daniella Monet |
E653072
|
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: Daniella Monet | Statement: [Victorious, mainCastMember, Daniella Monet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniella Monet Context triple: [Victorious, mainCastMember, Daniella Monet]
-
A.
Daniella Monet
chosen
Daniella Monet is an American actress and singer best known for playing Trina Vega on the Nickelodeon television series "Victorious."
-
B.
Alyssa Mastromonaco
Alyssa Mastromonaco is an American political strategist and former senior Obama administration official known for her work in White House operations and later as a media executive and author.
-
C.
Danielle Vitalis
Danielle Vitalis is a British actress known for her role in the sci-fi comedy film "Attack the Block" and appearances in various UK television series.
-
D.
Monica Devereux
Monica Devereux is an American actress and choreographer known for her work in films such as "Adventures in Babysitting" and "Home Alone."
-
E.
Monica Wright
Monica Wright is a fiercely competitive and talented basketball player whose evolving romance and athletic ambitions drive the coming-of-age sports drama in the film "Love & Basketball."
- 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.