Triple
T15492643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | War in the Dark |
E378732
|
entity |
| Predicate | blendsGenre |
P85590
|
FINISHED |
| Object | Cold War spy thriller |
—
|
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: Cold War spy thriller | Statement: [War in the Dark, blendsGenre, Cold War spy thriller]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: blendsGenre Context triple: [War in the Dark, blendsGenre, Cold War spy thriller]
-
A.
isOnGenreBlendingAlbum
Indicates that something (typically a song or track) appears on an album characterized by blending or combining multiple musical genres.
-
B.
combinesGenre
chosen
Indicates that an entity integrates or merges multiple genres into a single combined form or work.
-
C.
commonGenre
Indicates that two entities share at least one genre in common.
-
D.
musicFusionOf
Indicates a relationship where one musical work, style, or element is created by combining or blending two or more distinct musical sources or genres.
-
E.
genreIncludes
Indicates that a broader genre category encompasses or contains a specified subgenre or work as part of its classification.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fad723481908d2aa33e8f065f2f |
completed | April 16, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69ded2874b788190999158e0f043be21 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:49 a.m.