Triple
T22451053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dylan Playfair |
E554989
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dylan Playfair |
—
|
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: Dylan Playfair | Statement: [Dylan Playfair, name, Dylan Playfair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dylan Playfair Context triple: [Dylan Playfair, name, Dylan Playfair]
-
A.
Dylan Playfair
chosen
Dylan Playfair is a Canadian actor best known for his comedic role in the TV series "Letterkenny" and for appearing in projects like the "Descendants" film franchise.
-
B.
Dylan Llewellyn
Dylan Llewellyn is a British actor best known for playing the sweet but awkward James Maguire in the hit comedy series "Derry Girls."
-
C.
Dylan Walters
Dylan Walters is the son of acclaimed Australian actress Jacki Weaver.
-
D.
Dylan McLaughlin
Dylan McLaughlin is an American former child actor best known for his roles in family comedies and dramas in the early 2000s.
-
E.
Dylan Piper
Dylan Piper is a cautious, bookish member of the Cromwell family in the Disney Channel "Halloweentown" film series, known for gradually embracing his magical heritage.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4ba6a88190a0a79e2c20fa8c08 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:48 p.m.