Triple
T2070682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dune: Part Two |
E44808
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Cale Boyter |
E36079
|
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: Cale Boyter | Statement: [Dune: Part Two, producer, Cale Boyter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cale Boyter Context triple: [Dune: Part Two, producer, Cale Boyter]
-
A.
Cale Boyter
chosen
Cale Boyter is a film producer known for his work on major genre and franchise movies, including the science fiction action sequel "Pacific Rim: Uprising."
-
B.
Shane Morris
Shane Morris is a screenwriter best known for co-writing the story for Disney's animated film "Frozen."
-
C.
Damien Hardwick
Damien Hardwick is a former Australian rules footballer and highly successful AFL coach best known for leading the Richmond Football Club to multiple premierships.
-
D.
Warryn Campbell
Warryn Campbell is an American record producer, songwriter, and multi-instrumentalist known for his work across hip hop, R&B, and gospel with artists such as Kanye West, Mary Mary, and Alicia Keys.
-
E.
Matthew Margeson
Matthew Margeson is an American film composer known for his work on action and genre films, including collaborations on scores for major Hollywood productions.
- 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_69a88916c2b48190a5ca2e9b12cad3ed |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9f677108190aea3c8db7850c892 |
completed | March 7, 2026, 5:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae27289eb081909bfbc9bf2cd14878 |
completed | March 9, 2026, 1:49 a.m. |
Created at: March 4, 2026, 7:41 p.m.