Triple
T3989685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worldwide Pants Incorporated |
E86956
|
entity |
| Predicate | producedSeriesType |
P14858
|
FINISHED |
| Object | scripted comedy series |
—
|
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: scripted comedy series | Statement: [Worldwide Pants Incorporated, producedSeriesType, scripted comedy series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: producedSeriesType Context triple: [Worldwide Pants Incorporated, producedSeriesType, scripted comedy series]
-
A.
producedFilmSeries
Indicates that a person or organization served as a producer for a particular film series.
-
B.
seriesType
chosen
Indicates the classification or category of a series that an entity belongs to or is associated with.
-
C.
producedFilmType
Indicates that an entity (such as a person or organization) was responsible for producing a film of a specified type or category.
-
D.
notableProductionType
Indicates that the subject is particularly known for producing or creating instances of the specified type.
-
E.
filmSerialType
Indicates the type or category of a film serial to which a particular film or episode belongs.
- 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_69aed93fd9d4819085d3b2137d2346cb |
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, 3:33 p.m.