Triple
T20383725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whistling in the Dark |
E497904
|
entity |
| Predicate | hasGenreCombination |
P85590
|
FINISHED |
| Object | comedy-mystery |
—
|
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: comedy-mystery | Statement: [Whistling in the Dark, hasGenreCombination, comedy-mystery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenreCombination Context triple: [Whistling in the Dark, hasGenreCombination, comedy-mystery]
-
A.
combinesGenre
chosen
Indicates that an entity integrates or merges multiple genres into a single combined form or work.
-
B.
hasUseGenre
Indicates that something (such as a work, product, or item) is associated with or categorized under a particular genre for its use or purpose.
-
C.
hasGenreList
Indicates that an entity is associated with a set or list of genres that categorize or describe it.
-
D.
hasGenreOverlap
Indicates that two entities share one or more of the same genres.
-
E.
hasGenreFeature
Indicates that something possesses a characteristic, element, or trait associated with a particular genre.
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678b2ceec819091ad5205ee9b2174 |
completed | April 20, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69e57648be3c81908256838228cabf5c |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:27 a.m.