Triple
T16190037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blended |
E392910
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Bella Thorne |
E958188
|
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: Bella Thorne | Statement: [Blended, starring, Bella Thorne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bella Thorne Context triple: [Blended, starring, Bella Thorne]
-
A.
Bella Thorne
chosen
Bella Thorne is an American actress, singer, and former Disney Channel star best known for her role on the series "Shake It Up" and her subsequent work in film, television, and music.
-
B.
Bella Thornton
Bella Thornton is the daughter of American actor, filmmaker, and musician Billy Bob Thornton.
-
C.
Madelaine Petsch
Madelaine Petsch is an American actress best known for playing Cheryl Blossom on the television series "Riverdale."
-
D.
Alexa Demie
Alexa Demie is an American actress and singer best known for her role as Maddy Perez in the HBO teen drama series "Euphoria."
-
E.
Chloë Grace Moretz
Chloë Grace Moretz is an American actress known for her versatile performances in films such as "Kick-Ass," "Let Me In," and "If I Stay."
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222d4ab8081909a02e5138b29b83b |
completed | April 17, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0750f08190a2fce65124d8dcc0 |
completed | May 10, 2026, 3:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.