Triple
T9473404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Chbosky |
E228449
|
entity |
| Predicate | hasGenreAsAuthor |
P81112
|
FINISHED |
| Object | young adult literature |
—
|
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: young adult literature | Statement: [Stephen Chbosky, hasGenreAsAuthor, young adult literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenreAsAuthor Context triple: [Stephen Chbosky, hasGenreAsAuthor, young adult literature]
-
A.
authorGenre
chosen
Indicates the relationship between an author and the literary genre(s) in which they write or are associated with.
-
B.
hasGenreArtist
Indicates that an artist is associated with or specializes in a particular genre.
-
C.
hasGenreInRoles
Indicates that an entity participates in roles associated with a particular genre or set of genres.
-
D.
hasGenreInBibliography
Indicates that a work’s bibliography includes sources belonging to a specified genre.
-
E.
hasGenreOfClaim
Indicates that a claim is categorized or classified under a particular genre or type of claim.
- 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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ff0afd08190871b68a88fdbff2b |
completed | April 1, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69cca55f01b081908dc0f12eaa45f832 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:54 p.m.