Triple
T33184906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dick Van Dyke Show Theme |
E849438
|
entity |
| Predicate | associatedWithTVGenre |
P73830
|
FINISHED |
| Object | sitcom |
—
|
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: sitcom | Statement: [The Dick Van Dyke Show Theme, associatedWithTVGenre, sitcom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithTVGenre Context triple: [The Dick Van Dyke Show Theme, associatedWithTVGenre, sitcom]
-
A.
associatedWithGenreElement
Indicates that something has a connection or linkage to a specific genre-related element (such as a motif, convention, or stylistic feature).
-
B.
associatedShowType
chosen
Indicates a relationship where one entity is linked to the type or category of show with which it is associated.
-
C.
associatedWithGenreCreator
Indicates a relationship where a genre is linked to the person or entity that created or originated it.
-
D.
associatedWithGenreScene
Indicates that an entity is connected or related to a particular genre scene, such as a specific stylistic or cultural subcommunity within a broader genre.
-
E.
tvGenre
Indicates the genre or category to which a television show or program belongs.
- 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_69f3495e0f108190a6a7006f79f9c2c3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f338b881908e5593e45d764f4d |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:29 a.m.