Triple
T20453012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Do Revenge |
E501702
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Camila Mendes |
—
|
NE NERFINISHED |
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: Camila Mendes | Statement: [Do Revenge, castMember, Camila Mendes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camila Mendes Context triple: [Do Revenge, castMember, Camila Mendes]
-
A.
Camila Mendes
chosen
Camila Mendes is an American actress best known for playing Veronica Lodge on the television series "Riverdale."
-
B.
Mayan Lopez
Mayan Lopez is an American actress and producer, best known for starring alongside her father in the NBC comedy series "Lopez vs Lopez."
-
C.
Camilla Luddington
Camilla Luddington is an English actress best known for playing Dr. Jo Wilson on the television series "Grey's Anatomy" and voicing Lara Croft in the "Tomb Raider" video game franchise.
-
D.
Vanessa Diaz
Vanessa Diaz is a fictional character from the television series "Six Feet Under," known as the strong-willed and resilient wife of Federico Diaz.
-
E.
Juliana Awada
Juliana Awada is an Argentine businesswoman and former First Lady of Argentina, known for her role during Mauricio Macri’s presidency and her influence in fashion and social causes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68d039af08190827bf765b50515a8 |
completed | April 20, 2026, 8:30 p.m. |
Created at: April 16, 2026, 11:32 a.m.