Triple
T15284198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katharine Hepburn as Susan Vance |
E365351
|
entity |
| Predicate | notableInGenre |
P88335
|
FINISHED |
| Object | screwball comedy heroine |
—
|
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: screwball comedy heroine | Statement: [Katharine Hepburn as Susan Vance, notableInGenre, screwball comedy heroine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableInGenre Context triple: [Katharine Hepburn as Susan Vance, notableInGenre, screwball comedy heroine]
-
A.
notableWorkGenre
Indicates that a particular work is recognized as notable for an entity and specifies the genre to which that work belongs.
-
B.
knownForGenre
chosen
Indicates that an entity is recognized or notable for working in, producing, or being associated with a particular genre.
-
C.
notableCategory
Indicates that an entity is recognized as notable or significant within a particular category or classification.
-
D.
seriesGenreOfNotableWork
Indicates that a particular genre characterizes the notable work associated with a series.
-
E.
notableCategoryType
Indicates that an entity is notably associated with or classified under a particular category type.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e53c9588190a6cb61ac8805c706 |
completed | April 15, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69deca90739081909bd1b797cdb8af2b |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:15 a.m.