Triple
T20061020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fast X |
E499472
|
entity |
| Predicate | hasEditor |
P1954
|
FINISHED |
| Object | Corbin Mehl |
—
|
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: Corbin Mehl | Statement: [Fast X, hasEditor, Corbin Mehl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corbin Mehl Context triple: [Fast X, hasEditor, Corbin Mehl]
-
A.
Corbin Mehl
chosen
Corbin Mehl is a film editor known for his work on the action movie "Fast X" in the Fast & Furious franchise.
-
B.
Ashton Meem
Ashton Meem is an American woman best known as the first wife of NFL quarterback Russell Wilson and for her work in advertising and event planning.
-
C.
Conner Coffin
Conner Coffin is a professional American surfer known for his powerful, traditional style and success on the World Surf League Championship Tour.
-
D.
Dylan Massett
Dylan Massett is a central character in the psychological horror drama series "Bates Motel," portrayed as Norman Bates' troubled half-brother who becomes entangled in the family's dark secrets and criminal activities.
-
E.
Dylan Schmid
Dylan Schmid is a Canadian actor known for his roles in television series and films, often appearing in dramatic and genre projects.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6637601dc8190a07fc20844093cb7 |
completed | April 20, 2026, 5:33 p.m. |
Created at: April 11, 2026, 3:38 p.m.