Triple
T7273859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stoolbend Mall |
E161174
|
entity |
| Predicate | genreOfWorkAppearingIn |
P21332
|
FINISHED |
| Object | animated 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: animated sitcom | Statement: [Stoolbend Mall, genreOfWorkAppearingIn, animated sitcom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfWorkAppearingIn Context triple: [Stoolbend Mall, genreOfWorkAppearingIn, animated sitcom]
-
A.
genreOfWorkActedIn
Indicates that an entity is the genre category of a work in which another entity performed or acted.
-
B.
genreOfWorkDirected
Indicates that a person has directed a work (such as a film, show, or performance) belonging to a specified genre.
-
C.
genreOfWorkCharacterIsIn
Indicates the specific genre of the creative work in which a given character appears.
-
D.
genreOfAppearance
chosen
Indicates the genre or type of creative work in which an entity appears.
-
E.
seriesGenreOfNotableWork
Indicates that a particular genre characterizes the notable work associated with a series.
- 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_69c6885181008190b419040e22939c7c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb8a0b4881908ff27c5a75bd4a95 |
completed | March 27, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69c6e76a84a081908d4184c55b728e48 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:58 p.m.