Triple
T33596835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amy Jenkins |
E860590
|
entity |
| Predicate | hasGenreInWriting |
P116833
|
FINISHED |
| Object | contemporary 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: contemporary fiction | Statement: [Amy Jenkins, hasGenreInWriting, contemporary fiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenreInWriting Context triple: [Amy Jenkins, hasGenreInWriting, contemporary fiction]
-
A.
hasGenreInFiction
chosen
Indicates that a work of fiction belongs to or is categorized under a specific literary genre.
-
B.
hasGivenGenreDefiningWork
Indicates that an entity has created or produced a work that is widely regarded as defining or fundamentally shaping a particular genre.
-
C.
hasGenreInBibliography
Indicates that a work’s bibliography includes sources belonging to a specified genre.
-
D.
hasWorkInGenreOfAuthor
Indicates that a work is associated with an author whose typical or primary genre matches the genre of that work.
-
E.
hasGivenGenre
Indicates that an entity is associated with a specific genre that has been assigned or designated to it.
- 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_69f3497f35908190a2e9bbb9b96c7a3f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd474b7e788190a9bb9b542d878f60 |
completed | May 8, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69fd46d8b2f0819099d92d72c902f60e |
completed | May 8, 2026, 2:13 a.m. |
Created at: May 1, 2026, 1:41 a.m.