Triple
T34937162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Perfect Day for Bananafish |
E1007608
|
entity |
| Predicate | publisherOfFirstMagazinePublication |
P81117
|
FINISHED |
| Object | The New Yorker |
—
|
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: The New Yorker | Statement: [A Perfect Day for Bananafish, publisherOfFirstMagazinePublication, The New Yorker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publisherOfFirstMagazinePublication Context triple: [A Perfect Day for Bananafish, publisherOfFirstMagazinePublication, The New Yorker]
-
A.
publisherOfFirstMagazineAppearance
chosen
Indicates the publisher responsible for releasing an entity’s first appearance in a magazine.
-
B.
magazineEditorAtFirstPublication
Indicates that a person served as the editor of a magazine at the time of its first publication.
-
C.
firstPublisher
Indicates that an entity is the original or earliest publisher of another entity (such as a work, edition, or resource).
-
D.
editorOfFirstBookPublication
Indicates that a person or entity served as the editor for the first published edition of a specific book.
-
E.
firstUKPublisher
Indicates that the subject was the first entity to publish the object in the United Kingdom.
- 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_69f76dc513fc819084a1ff52abbfa5bc |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff64b957bc81908afbc5914234a8ea |
completed | May 9, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69ff6446593c81909173e296eea2590c |
completed | May 9, 2026, 4:43 p.m. |
Created at: May 3, 2026, 4 p.m.