Triple
T34263114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smart Blonde |
E879087
|
entity |
| Predicate | hasFilmSeriesGenre |
P36857
|
FINISHED |
| Object | comedy-mystery |
—
|
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: comedy-mystery | Statement: [Smart Blonde, hasFilmSeriesGenre, comedy-mystery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmSeriesGenre Context triple: [Smart Blonde, hasFilmSeriesGenre, comedy-mystery]
-
A.
sourceSeriesGenre
Indicates that a series originates from or belongs to a particular genre.
-
B.
producedSeriesGenre
Indicates that a producer or production entity created or was responsible for a television or film series belonging to a specified genre.
-
C.
filmSeries
Indicates that a film is part of, or associated with, a larger film series or franchise.
-
D.
hasGenreInSeries
chosen
Indicates that a particular genre is associated with, or applies to, a work as it appears within a specific series.
-
E.
filmSeriesReturn
Indicates that a film marks the return or continuation of a previously established film series or franchise.
- 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_69f349b421cc8190b4b4655e1d612548 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff65987ff88190b09be64f7c0e1da9 |
completed | May 9, 2026, 4:49 p.m. |
| PD | Predicate disambiguation | batch_69ff6525b0548190bef7a9f009e00bb8 |
completed | May 9, 2026, 4:47 p.m. |
Created at: May 1, 2026, 1:56 a.m.