Triple
T21775969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenny MacPartland |
E537578
|
entity |
| Predicate | associatedWithGenreAuthor |
P81112
|
FINISHED |
| Object | Mary Higgins Clark suspense 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: Mary Higgins Clark suspense fiction | Statement: [Jenny MacPartland, associatedWithGenreAuthor, Mary Higgins Clark suspense fiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithGenreAuthor Context triple: [Jenny MacPartland, associatedWithGenreAuthor, Mary Higgins Clark suspense fiction]
-
A.
authorGenre
chosen
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.
associatedWithGenreElement
Indicates that something has a connection or linkage to a specific genre-related element (such as a motif, convention, or stylistic feature).
-
D.
hasWorkInGenreOfAuthor
Indicates that a work is associated with an author whose typical or primary genre matches the genre of that work.
-
E.
associatedWithAuthorType
Indicates that one entity has a specified type of association or role in relation to an author.
- 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_69e0c470759c819094a215757113562b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f046291d808190b5111a8d4819909f |
completed | April 28, 2026, 5:31 a.m. |
| PD | Predicate disambiguation | batch_69e6be6299988190a34c98fa76d94700 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:51 p.m.