Triple
T20006958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zen |
E494483
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Owen Teale |
—
|
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: Owen Teale | Statement: [Zen, castMember, Owen Teale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Owen Teale Context triple: [Zen, castMember, Owen Teale]
-
A.
Owen Teale
chosen
Owen Teale is a Welsh actor best known for his work on stage and screen, including his Tony Award-winning performance in "A Doll's House" and his role as Alliser Thorne in the television series "Game of Thrones."
-
B.
Owen Ward
Owen Ward is best known as the husband of American actress and author Brenda Joyce.
-
C.
Owen King
Owen King is an American author and the son of novelist Stephen King, known for his own works of fiction and collaborations with his father.
-
D.
Owen Leath
Owen Leath is the central protagonist of the work "The Reef," around whom the story’s main events and conflicts revolve.
-
E.
Owen Wright
Owen Wright is an Australian professional surfer known for his powerful style and success on the World Surf League Championship Tour.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a648a88190853ee741edcf6ca2 |
completed | April 20, 2026, 5:25 p.m. |
Created at: April 11, 2026, 3:33 p.m.