Triple
T14329928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanilla Sky |
E355318
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Noah Taylor |
E168216
|
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: Noah Taylor | Statement: [Vanilla Sky, starring, Noah Taylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noah Taylor Context triple: [Vanilla Sky, starring, Noah Taylor]
-
A.
Noah Taylor
chosen
Noah Taylor is an Australian actor known for his character roles in films such as "Shine," "Almost Famous," and "Game of Thrones."
-
B.
Noah Crawford
Noah Crawford is an American actor best known for his role on the Nickelodeon television series "How to Rock."
-
C.
Noah Dixon
Noah Dixon is a fictional Pony Express rider and one of the main characters in the Western television series "The Young Riders."
-
D.
Noah Hutton
Noah Hutton is an American filmmaker and documentarian known for his work on science-focused and socially conscious films.
-
E.
Noah Timmins
Noah Timmins was a prominent Canadian mining financier and pioneer whose investments helped develop major gold mining operations in northern Ontario in the early 20th century.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c1def0081908f03cda8e84d20c0 |
completed | April 14, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c3d20688190973e37ca38b4afe0 |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:13 a.m.