Triple
T10201593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riddick |
E238894
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Nolan Gerard Funk |
E600958
|
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: Nolan Gerard Funk | Statement: [Riddick, starring, Nolan Gerard Funk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nolan Gerard Funk Context triple: [Riddick, starring, Nolan Gerard Funk]
-
A.
Nolan Gerard Funk
chosen
Nolan Gerard Funk is a Canadian actor and singer known for his roles in television series such as Glee, Awkward, and The Flight Attendant, as well as various film and stage productions.
-
B.
Nolan Gould
Nolan Gould is an American actor best known for playing the intellectually quirky Luke Dunphy on the hit television sitcom "Modern Family."
-
C.
Nolan Grayson
Nolan Grayson is a powerful Viltrumite warrior living on Earth under the superhero identity Omni-Man in the Invincible comic and animated series.
-
D.
Nolan Ross
Nolan Ross is a brilliant, eccentric tech entrepreneur and loyal ally who plays a pivotal role in the drama series "Revenge."
-
E.
Nate Ford
Nate Ford is the brilliant but morally conflicted former insurance investigator who leads the crew of con artists in the television series "Leverage."
- 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdee40cb7481908a1bf4d5636eb8ef |
completed | April 2, 2026, 4:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317fcdf18819092d0f3f216edffdc |
completed | April 6, 2026, 2:18 a.m. |
Created at: March 30, 2026, 9:14 p.m.