Triple
T28521589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry |
E721784
|
entity |
| Predicate | associatedWithAuthorGenre |
P161456
|
FINISHED |
| Object | horror |
—
|
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: horror | Statement: [Larry, associatedWithAuthorGenre, horror]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithAuthorGenre Context triple: [Larry, associatedWithAuthorGenre, horror]
-
A.
authorGenre
Indicates the relationship between an author and the literary genre(s) in which they write or are associated with.
-
B.
authorOfSameGenre
Indicates that two authors primarily write works within the same literary genre.
-
C.
associatedWithAuthorType
Indicates that one entity has a specified type of association or role in relation to an author.
-
D.
associatedWithGenreElement
Indicates that something has a connection or linkage to a specific genre-related element (such as a motif, convention, or stylistic feature).
-
E.
literaryGenreAssociated
chosen
Indicates that there is an association between an entity and a particular literary genre with which it is related or 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_69f01a5cbcc4819083fb4e723378713e |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_6a0174e8b5b481908bf0c6d3d5b0f3b6 |
completed | May 11, 2026, 6:19 a.m. |
| PD | Predicate disambiguation | batch_6a01748d65248190ac3d9adfa9d0b274 |
completed | May 11, 2026, 6:17 a.m. |
Created at: April 28, 2026, 3:21 a.m.