Triple
T691465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Happy Days |
E13800
|
entity |
| Predicate | filmingStyle |
P2760
|
FINISHED |
| Object | filmed before a live studio audience |
—
|
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: filmed before a live studio audience | Statement: [Happy Days, filmingStyle, filmed before a live studio audience]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmingStyle Context triple: [Happy Days, filmingStyle, filmed before a live studio audience]
-
A.
filmingTechnique
chosen
Indicates the specific method or style used to capture visual content during the filming process.
-
B.
filmingStudio
Indicates that a studio is responsible for producing or filming a particular audiovisual work.
-
C.
cinematographyBy
Indicates that the cinematographic work (such as the camera work or visual style of a film or video) is created or supervised by a specified person or entity.
-
D.
filmDirection
Indicates that one entity is the director responsible for overseeing the creative and practical aspects of producing the film represented by the other entity.
-
E.
filmType
Indicates the specific category or genre that a film belongs to.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0aebde88190a49d421477713103 |
completed | March 1, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69a49d221d38819083c0adda81f59b07 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.