Triple
T27818048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Singer |
E702734
|
entity |
| Predicate | characterInTelevisionSeriesGenre |
P80218
|
FINISHED |
| Object | comedy-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: comedy-drama | Statement: [Jeff Singer, characterInTelevisionSeriesGenre, comedy-drama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterInTelevisionSeriesGenre Context triple: [Jeff Singer, characterInTelevisionSeriesGenre, comedy-drama]
-
A.
portraysCharacterInGenre
chosen
Indicates that an entity depicts or plays a character within works belonging to a specified genre.
-
B.
characterInFilmSeries
Indicates that a character appears in or is part of the cast of a particular film series.
-
C.
genreOfWorkCharacterIsIn
Indicates the specific genre of the creative work in which a given character appears.
-
D.
tvGenre
Indicates the genre or category to which a television show or program belongs.
-
E.
characterIn
Indicates that an entity appears as a character within a specified work, story, or narrative.
- 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_69ef840ad1e88190b5bff2d1ddec8700 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: April 27, 2026, 5:46 p.m.