Triple
T35471288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In a Hail of Bullets |
E1025213
|
entity |
| Predicate | associatedTVSeriesGenre |
P83375
|
FINISHED |
| Object | crime 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: crime comedy-drama | Statement: [In a Hail of Bullets, associatedTVSeriesGenre, crime comedy-drama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedTVSeriesGenre Context triple: [In a Hail of Bullets, associatedTVSeriesGenre, crime comedy-drama]
-
A.
producedSeriesGenre
Indicates that a producer or production entity created or was responsible for a television or film series belonging to a specified genre.
-
B.
tvGenre
chosen
Indicates the genre or category to which a television show or program belongs.
-
C.
sourceSeriesGenre
Indicates that a series originates from or belongs to a particular genre.
-
D.
parentSeriesGenre
Indicates that a parent series belongs to or is 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.
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_69f76dfadba0819083456aadcd6864ea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:04 p.m.