Triple
T20516921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bones |
E503704
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Karl Urban |
—
|
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: Karl Urban | Statement: [Bones, portrayedBy, Karl Urban]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karl Urban Context triple: [Bones, portrayedBy, Karl Urban]
-
A.
Karl Urban
chosen
Karl Urban is a New Zealand actor known for roles in major franchises such as The Lord of the Rings, Star Trek, and The Boys.
-
B.
Daniel Gillies
Daniel Gillies is a New Zealand-Canadian actor and filmmaker best known for his roles in television series such as "The Vampire Diaries" and its spin-off "The Originals."
-
C.
Lewis Pullman
Lewis Pullman is an American actor known for roles in films such as "Top Gun: Maverick," "Bad Times at the El Royale," and "The Strangers: Prey at Night."
-
D.
Joe Keery
Joe Keery is an American actor and musician best known for his role as Steve Harrington in the Netflix series "Stranger Things."
-
E.
Brendan Hunt
Brendan Hunt is an American actor, writer, and comedian best known for co-creating and starring in the acclaimed television series "Ted Lasso."
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f42db688190a3ccfba5601e8bf3 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:36 a.m.