Triple
T23162071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goon: Last of the Enforcers |
E578612
|
entity |
| Predicate | basedOnCharactersBy |
P15277
|
FINISHED |
| Object | Jay Baruchel |
—
|
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: Jay Baruchel | Statement: [Goon: Last of the Enforcers, basedOnCharactersBy, Jay Baruchel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Baruchel Context triple: [Goon: Last of the Enforcers, basedOnCharactersBy, Jay Baruchel]
-
A.
Jay Baruchel
chosen
Jay Baruchel is a Canadian actor, comedian, writer, and director known for roles in films like "Knocked Up," "This Is the End," and as the voice of Hiccup in the "How to Train Your Dragon" franchise.
-
B.
Mattias Ferrell
Mattias Ferrell is one of the sons of American actor and comedian Will Ferrell.
-
C.
Luke Wilson
Luke Wilson is an American actor known for his roles in films such as "The Royal Tenenbaums," "Old School," and "Legally Blonde."
-
D.
Ryan Reynolds
Ryan Reynolds is a Canadian-American actor and producer known for his charismatic performances and sharp comedic timing in films such as Deadpool, The Proposal, and Free Guy.
-
E.
Michael Cera
Michael Cera is a Canadian actor known for his awkwardly endearing comedic roles in film and television, including prominent parts in projects like "Superbad," "Juno," and "Scott Pilgrim vs. the World."
- 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f019cd881908e3c68d99454da2a |
completed | April 29, 2026, 4:54 a.m. |
Created at: April 17, 2026, 4:02 p.m.