Triple
T22125956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonny Munroe |
E546790
|
entity |
| Predicate | loveInterest |
P7325
|
FINISHED |
| Object | Chad Dylan Cooper |
—
|
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: Chad Dylan Cooper | Statement: [Sonny Munroe, loveInterest, Chad Dylan Cooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chad Dylan Cooper Context triple: [Sonny Munroe, loveInterest, Chad Dylan Cooper]
-
A.
Chad Dylan Cooper
chosen
Chad Dylan Cooper is a conceited yet charming teen heartthrob and star of the rival sketch show "Mackenzie Falls" on the Disney Channel series "Sonny with a Chance."
-
B.
Taylor Dean
Taylor Dean is a fictional character from the Disney Channel Original Movie "Zapped," which follows a teen girl whose life is upended when a smartphone app gives her control over boys.
-
C.
Adam Wolfe
Adam Wolfe is a film editor known for his work on major Hollywood action movies, including the political thriller "White House Down."
-
D.
Adam Wolfe
Adam Wolfe is a film editor known for his work on projects including the 2015 drama "Stonewall."
-
E.
Chad Michael Collins
Chad Michael Collins is an American actor best known for his roles in action and military-themed films, particularly the "Sniper" movie franchise.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12981ac008190aafb516f2a28fefc |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:31 p.m.