Triple
T30688782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Size Productions |
E781259
|
entity |
| Predicate | producedSeriesGenre |
P193720
|
FINISHED |
| Object | legal and political drama |
—
|
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: legal and political drama | Statement: [King Size Productions, producedSeriesGenre, legal and political drama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: producedSeriesGenre Context triple: [King Size Productions, producedSeriesGenre, legal and political drama]
-
A.
producedSeriesFor
Indicates that one entity created or was responsible for producing a series (such as a TV, web, or media series) for another entity.
-
B.
sourceSeriesGenre
Indicates that a series originates from or belongs to a particular genre.
-
C.
producedFilmSeries
Indicates that a person or organization served as a producer for a particular film series.
-
D.
curatedSeriesGenre
Indicates that a curated series is associated with, or categorized under, a particular genre.
-
E.
notableGenreSeries
Indicates that a series is notably associated with or recognized for a particular genre.
- F. None of above. chosen
Provenance (4 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_69f224a92f54819095499b4d32bd5134 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
| PDg | Predicate description generation | batch_69fd509cdc5c8190a5f2c451bc0d0b25 |
completed | May 8, 2026, 2:55 a.m. |
Created at: April 29, 2026, 8:33 p.m.