Triple
T16015965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Exception |
E388466
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object | Jai Courtney |
E128312
|
NE FINISHED |
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: Jai Courtney | Statement: [The Exception, leadActor, Jai Courtney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jai Courtney Context triple: [The Exception, leadActor, Jai Courtney]
-
A.
Jai Courtney
chosen
Jai Courtney is an Australian actor known for his roles in action and blockbuster films such as the Divergent series, A Good Day to Die Hard, and Suicide Squad.
-
B.
Aaron Taylor-Johnson
Aaron Taylor-Johnson is an English actor known for roles in films such as Kick-Ass, Avengers: Age of Ultron, and Nocturnal Animals.
-
C.
Garrett Hedlund
Garrett Hedlund is an American actor and singer known for roles in films such as "Tron: Legacy," "Friday Night Lights," and "Country Strong."
-
D.
Jason Boyd
Jason Boyd, better known as Poo Bear, is an American songwriter and producer renowned for his extensive collaborations with artists like Justin Bieber.
-
E.
Dylan O'Brien
Dylan O'Brien is an American actor best known for starring in the "Maze Runner" film series and the TV show "Teen Wolf."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18294f6c48190ab9d3eead268f846 |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe470cd5881909cc0c48b3a540d61 |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:55 a.m.