Triple
T34048656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Here and Now (1983 album) |
E873154
|
entity |
| Predicate | spokenWordGenre |
P124345
|
FINISHED |
| Object | 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: comedy | Statement: [Here and Now (1983 album), spokenWordGenre, comedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spokenWordGenre Context triple: [Here and Now (1983 album), spokenWordGenre, comedy]
-
A.
spokenWord
Indicates that one entity has uttered or articulated a specific word or phrase in spoken form.
-
B.
bearerGenre
chosen
Indicates that an entity (the bearer) is associated with or characterized by a particular genre.
-
C.
genreFunction
Indicates the role or purpose that a genre serves in relation to an entity, such as how it functions within classification, interpretation, or use.
-
D.
genreSpecialty
Indicates that an entity specializes in or is particularly associated with a specific genre.
-
E.
usedGenre
Indicates that one entity employs or is associated with a particular genre in its creation, presentation, or 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_69f349a3ec2c8190b62da76e54231a0f |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:51 a.m.