Triple
T22574258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You're Next |
E544350
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | AJ Bowen |
—
|
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: AJ Bowen | Statement: [You're Next, castMember, AJ Bowen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AJ Bowen Context triple: [You're Next, castMember, AJ Bowen]
-
A.
AJ Bowen
chosen
AJ Bowen is an American actor best known for his roles in contemporary horror films and indie genre movies.
-
B.
Adam Bowen
Adam Bowen is an American entrepreneur best known as a co-founder of Juul Labs, the prominent e-cigarette company.
-
C.
Matthew Bowen
Matthew Bowen is a retired Australian rugby league fullback best known for his long and prolific NRL career with the North Queensland Cowboys and his electrifying attacking play.
-
D.
Stephen Bowen
Stephen Bowen is a former American football defensive end who played in the NFL, most notably for the Dallas Cowboys and Washington Redskins.
-
E.
Taylor Bowman
Taylor Bowman is a character in the television series "Sneaky Pete," involved in the show's web of crime, deception, and complex personal relationships.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fec296481908a6101b02e5bedaa |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.