Triple
T33750034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivory Way Productions |
E864813
|
entity |
| Predicate | influencedByWorkType |
P174263
|
FINISHED |
| Object | American sketch comedy tradition |
—
|
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 sketch comedy tradition | Statement: [Ivory Way Productions, influencedByWorkType, American sketch comedy tradition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedByWorkType Context triple: [Ivory Way Productions, influencedByWorkType, American sketch comedy tradition]
-
A.
influencedWorkType
chosen
Indicates that one work has affected or shaped the type, category, or form of another work.
-
B.
influencedWork
Indicates that one work has had a significant impact on the creation, style, content, or development of another work.
-
C.
associatedWorkType
Indicates the type or category of work with which an entity is associated (e.g., publication, artwork, performance).
-
D.
workTypeContributedTo
Indicates that an entity contributed to the creation, development, or production of a particular type of work.
-
E.
basedOnWorkGenre
Indicates that one entity’s genre classification is derived from or determined by the genre 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_69f3498c35f881909df279ae4270f831 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 1, 2026, 1:45 a.m.