Triple
T17768732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1Q84 |
E443575
|
entity |
| Predicate | translatorToEnglish |
P5475
|
FINISHED |
| Object | Jay Rubin |
—
|
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: Jay Rubin | Statement: [1Q84, translatorToEnglish, Jay Rubin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Rubin Context triple: [1Q84, translatorToEnglish, Jay Rubin]
-
A.
Jay Rubin
chosen
Jay Rubin is an American scholar and translator best known for translating several major works of Japanese author Haruki Murakami into English.
-
B.
Jason Rubin
Jason Rubin is an American video game designer and co-founder of Naughty Dog, best known for his work on the Crash Bandicoot series.
-
C.
Jon Rubinstein
Jon Rubinstein is an American computer engineer and executive best known for his key role in developing Apple's iPod and later leading Palm as CEO.
-
D.
David Rubin
David Rubin is one of the children of pioneering American astronomer Vera Rubin, known for her groundbreaking work on galaxy rotation curves and dark matter.
-
E.
Roy Rubin
Roy Rubin is an entrepreneur best known as the co-founder and former CEO of Varien, the company that created the Magento e-commerce platform.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485fd8aa081909c8ee9264af15c69 |
completed | April 19, 2026, 7:36 a.m. |
Created at: April 10, 2026, 10:11 a.m.