Triple
T25093861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Best American Short Stories 2008 |
E628534
|
entity |
| Predicate | guestEditor |
P107303
|
FINISHED |
| Object | Salman Rushdie |
—
|
NE NERFINISHED |
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: Salman Rushdie | Statement: [The Best American Short Stories 2008, guestEditor, Salman Rushdie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: guestEditor Context triple: [The Best American Short Stories 2008, guestEditor, Salman Rushdie]
-
A.
laterEditor
Indicates that one entity served as an editor of a work at a later time or in a subsequent edition relative to another editor.
-
B.
editorIntroductionBy
Indicates that one entity is introduced or presented by another entity acting in the role of an editor.
-
C.
editorOfWork
chosen
Indicates that one entity serves as the editor responsible for preparing, revising, or overseeing the content of a particular work.
-
D.
editorialSupport
Indicates that one entity provides editorial assistance, guidance, or services to another entity or work.
-
E.
editedBy
Indicates that one entity has revised, modified, or otherwise made editorial changes to another entity.
- 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_69e2ff2f58e881908340527bc5d34f07 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f46d3f35848190b56a4373c97a7d64 |
completed | May 1, 2026, 9:07 a.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 6:24 a.m.