Triple
T5844862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Jung |
E129682
|
entity |
| Predicate | genreOfFilmInspired |
P40291
|
FINISHED |
| Object | biographical crime 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: biographical crime drama | Statement: [George Jung, genreOfFilmInspired, biographical crime drama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfFilmInspired Context triple: [George Jung, genreOfFilmInspired, biographical crime drama]
-
A.
genreOfInspiration
chosen
Indicates that one entity serves as the inspirational genre or stylistic source for the creation, style, or classification of another entity.
-
B.
filmType
Indicates the specific category or genre that a film belongs to.
-
C.
influencedByGenre
Indicates that something’s characteristics, style, or development are shaped or affected by a particular genre.
-
D.
filmBasedOn
Indicates that a film is adapted from or derived from the story, characters, or events of another work.
-
E.
genreWithin
Indicates that one genre is a subgenre or more specific category contained within another, broader 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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c0334412388190bc594794ec5754f9 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:55 p.m.