Triple
T32948994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Herbert's Children of Dune |
E842888
|
entity |
| Predicate | isAdaptationOfThirdNovel |
P175879
|
FINISHED |
| Object | Children of Dune |
—
|
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: Children of Dune | Statement: [Frank Herbert's Children of Dune, isAdaptationOfThirdNovel, Children of Dune]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAdaptationOfThirdNovel Context triple: [Frank Herbert's Children of Dune, isAdaptationOfThirdNovel, Children of Dune]
-
A.
isAdaptationOfSecondNovel
Indicates that one work is an adaptation specifically of the second novel in a series or sequence.
-
B.
adaptationOfFirstNovel
Indicates that the subject work is an adaptation specifically of the first novel in a given series or by a particular author.
-
C.
adaptedNovel
Indicates that a novel has been adapted into another medium, such as a film, television series, or stage production.
-
D.
isSecondNovelBy
Indicates that one entity is the second novel authored by another entity.
-
E.
hasNovelization
Indicates that a work has been adapted into a novel or prose narrative form.
- F. None of above. chosen
Provenance (4 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_69f3494a31f481909057136e49b4fe60 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d749e7f081909c8196898c4191ad |
completed | May 3, 2026, 5:04 a.m. |
Created at: May 1, 2026, 1:21 a.m.