Triple
T12670900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Little Buttercup |
E302677
|
entity |
| Predicate | featuredInWorkGenre |
P62560
|
FINISHED |
| Object | Western 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: Western comedy | Statement: [My Little Buttercup, featuredInWorkGenre, Western comedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredInWorkGenre Context triple: [My Little Buttercup, featuredInWorkGenre, Western comedy]
-
A.
workedOnGenre
Indicates that an entity (such as a person or organization) has done work related to a particular genre.
-
B.
settingOfWorkFeaturedIn
Indicates that a place or environment serves as the primary setting where the events of a creative work take place.
-
C.
basedOnWorkGenre
Indicates that one entity’s genre classification is derived from or determined by the genre of another work.
-
D.
genreOfProducedWorks
Indicates that one entity is the genre category to which the works produced by another entity belong.
-
E.
belongsToWorkGenre
chosen
Indicates that a creative work is classified under or 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ae493481908f82e0d05dce20bd |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960bb64ec8190bd0400cf0cc8b0a7 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:20 p.m.