Triple
T25093862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Best American Short Stories 2008 |
E628534
|
entity |
| Predicate | authorOfIntroduction |
P94184
|
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, authorOfIntroduction, Salman Rushdie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorOfIntroduction Context triple: [The Best American Short Stories 2008, authorOfIntroduction, Salman Rushdie]
-
A.
authorOfForewordOrIntro
chosen
Indicates that one entity is the person who wrote the foreword or introduction for a work associated with the other entity.
-
B.
authorDescribedIn
Indicates that information about an author is provided or discussed within a particular document or source.
-
C.
authorOfDescription
Indicates that an entity is the creator or writer of a particular description or explanatory text about something.
-
D.
authorDescription
Indicates that a person provides a textual description or biographical summary of an author.
-
E.
authorOrigin
Indicates that an author has a specific place, region, or country as their origin or background.
- 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_69f60c3b09488190ade1b69ff7f0df0e |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f60b8461ac81908c5bd3d73eed59f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 18, 2026, 6:24 a.m.