Triple
T2070710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dune: Part Two |
E44808
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Caladan |
E224781
|
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: Caladan | Statement: [Dune: Part Two, setting, Caladan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caladan Context triple: [Dune: Part Two, setting, Caladan]
-
A.
Caladan
chosen
Caladan is the oceanic homeworld of House Atreides in the Dune universe, known for its rainy climate, lush landscapes, and stark contrast to the desert planet Arrakis.
-
B.
Sera
Sera is a given name, often used as a variant of Sara or Sarah in various cultures.
-
C.
Giedi Prime
Giedi Prime is the heavily industrialized, polluted homeworld of House Harkonnen in the Dune universe, known for its harsh environment and oppressive society.
-
D.
Terrigal
Terrigal is a popular coastal town in New South Wales, Australia, known for its surf beaches, scenic headlands, and vibrant holiday atmosphere.
-
E.
Valmur
Valmur is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, renowned for producing powerful, age-worthy Chardonnay wines.
- 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_69ae5184b7d8819095693cea73e54ff1 |
completed | March 9, 2026, 4:50 a.m. |
Created at: March 4, 2026, 7:41 p.m.