Triple
T36539688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Duchess and the Devil |
E900682
|
entity |
| Predicate | isEpisodeOfFranchise |
P147286
|
FINISHED |
| Object | Horatio Hornblower adaptations |
—
|
LITERAL 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: Horatio Hornblower adaptations | Statement: [The Duchess and the Devil, isEpisodeOfFranchise, Horatio Hornblower adaptations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEpisodeOfFranchise Context triple: [The Duchess and the Devil, isEpisodeOfFranchise, Horatio Hornblower adaptations]
-
A.
partOfFranchiseInstallment
chosen
Indicates that one work is an installment belonging to a larger franchise or series.
-
B.
isEpisodeOfGenre
Indicates that a specific episode belongs to or is categorized under a particular genre.
-
C.
producedFranchiseInstallment
Indicates that one entity produced a specific installment within a larger media franchise.
-
D.
hasPartInFilmSeries
Indicates that an entity participates in or contributes to one or more installments within a specific film series.
-
E.
directedFilmInFranchise
Indicates that a person served as the director of a specific film that is part of a particular franchise.
- F. None of above.
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_69f76e5fbb388190b70c4c15573c8143 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.