Triple
T30820251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry's Law |
E784897
|
entity |
| Predicate | hasMixtureOfGenres |
P40766
|
FINISHED |
| Object | legal drama and comedy |
—
|
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: legal drama and comedy | Statement: [Harry's Law, hasMixtureOfGenres, legal drama and comedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMixtureOfGenres Context triple: [Harry's Law, hasMixtureOfGenres, legal drama and comedy]
-
A.
isOnGenreBlendingAlbum
Indicates that something (typically a song or track) appears on an album characterized by blending or combining multiple musical genres.
-
B.
hasGenreList
chosen
Indicates that an entity is associated with a set or list of genres that categorize or describe it.
-
C.
hasGivenGenre
Indicates that an entity is associated with a specific genre that has been assigned or designated to it.
-
D.
hasGenreFeature
Indicates that something possesses a characteristic, element, or trait associated with a particular genre.
-
E.
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.
- 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_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
Created at: April 29, 2026, 8:44 p.m.