Triple
T22021965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barkskins |
E543866
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Christian Cooke |
—
|
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: Christian Cooke | Statement: [Barkskins, stars, Christian Cooke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christian Cooke Context triple: [Barkskins, stars, Christian Cooke]
-
A.
Christian Cooke
chosen
Christian Cooke is an English actor known for his roles in film and television, including prominent parts in British dramas and comedies.
-
B.
Chris Layton
Chris Layton is an American drummer best known as the longtime percussionist for blues-rock guitarist Stevie Ray Vaughan in the band Double Trouble.
-
C.
Chris Cooke
Chris Cooke is a musician known for being a member of the British rock band Procol Harum.
-
D.
Andrew Clark
Andrew Clark is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
-
E.
Chris Haywood
Chris Haywood is an Australian actor known for his extensive work in film, television, and theatre since the 1970s.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c8ac6881909a9e96e0873a3ae2 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:23 p.m.