Triple
T30348095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | noitaminA |
E771917
|
entity |
| Predicate | hasGenreEmphasis |
P51264
|
FINISHED |
| Object | drama |
—
|
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: drama | Statement: [noitaminA, hasGenreEmphasis, drama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenreEmphasis Context triple: [noitaminA, hasGenreEmphasis, drama]
-
A.
musicGenreEmphasis
Indicates that a particular music genre is especially highlighted, prioritized, or given distinctive importance within a context or work.
-
B.
hasMainGenre
chosen
Indicates that an entity’s primary or most characteristic genre is the specified genre.
-
C.
hasGenreFeature
Indicates that something possesses a characteristic, element, or trait associated with a particular genre.
-
D.
hasGenreAsSetting
Indicates that a work’s setting is characterized by, or takes place within, 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: April 29, 2026, 7:56 p.m.