Triple
T38111729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Granby’s Green Acres |
E951672
|
entity |
| Predicate | inspiredWorkFormat |
P151578
|
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: [Granby’s Green Acres, inspiredWorkFormat, television sitcom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredWorkFormat Context triple: [Granby’s Green Acres, inspiredWorkFormat, television sitcom]
-
A.
inspiredWorksOf
Indicates that one entity served as the source of inspiration or creative influence for the works produced by another entity.
-
B.
inspiredWorks
Indicates that one work served as a source of inspiration or creative influence for the creation or development of another work.
-
C.
inspiredWorkAppearsOn
chosen
Indicates that a work created as a result of inspiration is featured, included, or presented on a particular medium, platform, or publication.
-
D.
formatOfWorks
Indicates the specific medium, layout, or structural form in which works are created, presented, or published.
-
E.
influencedWorkType
Indicates that one work has affected or shaped the type, category, or form of another work.
- 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_69f76f065ed08190bdfb1b6d817f5b39 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fdbaa226708190b8ed96e93aad38de |
completed | May 8, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69fdb58b07e48190837e00966de050d4 |
completed | May 8, 2026, 10:06 a.m. |
Created at: May 3, 2026, 4:21 p.m.