Triple
T7837404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barefoot in the Park |
E181719
|
entity |
| Predicate | partOfGenreMovement |
P47442
|
FINISHED |
| Object | 1960s American romantic comedies |
—
|
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: 1960s American romantic comedies | Statement: [Barefoot in the Park, partOfGenreMovement, 1960s American romantic comedies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfGenreMovement Context triple: [Barefoot in the Park, partOfGenreMovement, 1960s American romantic comedies]
-
A.
genreOfAppearance
Indicates the genre or type of creative work in which an entity appears.
-
B.
keyGenreFilm
Indicates that a particular genre is the primary or defining genre associated with a given film.
-
C.
genreWithin
chosen
Indicates that one genre is a subgenre or more specific category contained within another, broader genre.
-
D.
adaptationOfWorkGenre
Indicates that one work is an adaptation of another work that belongs to a specific genre.
-
E.
partOfFilmographyOf
Indicates that a work (such as a film, show, or role) is included in the body of screen-related works credited to a particular person.
- 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_69ca8284a25c8190a1a20afad30da792 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb14c203b4819099c039c617628927 |
completed | March 31, 2026, 12:26 a.m. |
| PD | Predicate disambiguation | batch_69cae91e98988190abd4ece75932c589 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:46 p.m.