Triple
T3994561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayberry Enterprises |
E87068
|
entity |
| Predicate | hasGenreOfPrimaryWork |
P51264
|
FINISHED |
| Object | American 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: American sitcom | Statement: [Mayberry Enterprises, hasGenreOfPrimaryWork, American sitcom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenreOfPrimaryWork Context triple: [Mayberry Enterprises, hasGenreOfPrimaryWork, American sitcom]
-
A.
notableWorkGenre
Indicates that a particular work is recognized as notable for an entity and specifies the genre to which that work belongs.
-
B.
hasMainGenre
chosen
Indicates that an entity’s primary or most characteristic genre is the specified genre.
-
C.
hasGenreArtist
Indicates that an artist is associated with or specializes in a particular genre.
-
D.
publishedGenre
Indicates that an entity has been published in, or is associated with, a particular genre.
-
E.
genreOfAssociatedPerson
Indicates that a particular genre is associated with a given person, such as an artist, author, or performer.
- 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb81040481909b22e4c445ecae0f |
completed | March 9, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69aef8f692008190bf4d637ffc3d3eaa |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:34 p.m.