Triple
T35309068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Custer |
E1019715
|
entity |
| Predicate | genreInferred |
P13889
|
FINISHED |
| Object | literary fiction |
—
|
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: literary fiction | Statement: [Old Custer, genreInferred, literary fiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreInferred Context triple: [Old Custer, genreInferred, literary fiction]
-
A.
genreRecognized
chosen
Indicates that a particular genre has been identified or acknowledged as applicable to an entity.
-
B.
genreOfRecordedWork
Indicates that a recorded work (such as a song, album, or audio piece) belongs to a particular artistic or musical genre.
-
C.
genreIncludes
Indicates that a broader genre category encompasses or contains a specified subgenre or work as part of its classification.
-
D.
genreWithin
Indicates that one genre is a subgenre or more specific category contained within another, broader genre.
-
E.
musicGenreCategory
Indicates that one entity is a broader music genre category under which the other music genre is classified.
- 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_69f76de8b4c48190ae504b86185c474c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:03 p.m.