Triple
T33903453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Haggett |
E869113
|
entity |
| Predicate | contributesToGenre |
P149876
|
FINISHED |
| Object | comedy of manners |
—
|
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 of manners | Statement: [Mrs. Haggett, contributesToGenre, comedy of manners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contributesToGenre Context triple: [Mrs. Haggett, contributesToGenre, comedy of manners]
-
A.
genreContribution
chosen
Indicates that an entity has contributed to, influenced, or helped shape a particular genre.
-
B.
isAssociatedWithSubgenre
Indicates that one entity has a connection or linkage to a specific subgenre of a broader category.
-
C.
influencedByGenre
Indicates that something’s characteristics, style, or development are shaped or affected by a particular genre.
-
D.
hasGenreInfluenceOn
Indicates that one genre has a notable impact on shaping or influencing the characteristics, style, or development of another genre.
-
E.
promotesGenre
Indicates that one entity actively supports, advertises, or increases the visibility of 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_69f34997703c8190866b1d404bce531f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe87b609888190913b0c3f787ecdba |
completed | May 9, 2026, 1:02 a.m. |
| PD | Predicate disambiguation | batch_69fe8731af48819092084f6f74bf052d |
completed | May 9, 2026, 1 a.m. |
Created at: May 1, 2026, 1:48 a.m.