Triple
T21899768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Point Place, Wisconsin |
E540776
|
entity |
| Predicate | genreOfWorkLocation |
P89582
|
FINISHED |
| Object | television 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: television sitcom | Statement: [Point Place, Wisconsin, genreOfWorkLocation, television sitcom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfWorkLocation Context triple: [Point Place, Wisconsin, genreOfWorkLocation, television sitcom]
-
A.
genreOfWorkEnvironment
Indicates the type or style of work environment associated with a particular job, role, or organization.
-
B.
genreOfWorkSetting
chosen
Indicates the genre category that characterizes the setting in which a work takes place.
-
C.
genreOfWorkDescribedIn
Indicates that a work is characterized as belonging to a particular genre as described in another resource or context.
-
D.
locationOfWork
Indicates the place or site where an entity performs its work or carries out its professional activities.
-
E.
commissionedWorkLocation
Indicates the place where a commissioned work is created, produced, or carried out.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fca2bf88190b2a5b912aa102513 |
completed | April 28, 2026, 8:59 p.m. |
| PD | Predicate disambiguation | batch_69e6be9a65888190a66598d62d20366c |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:07 p.m.