Triple
T33344089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Post-Office Girl |
E853748
|
entity |
| Predicate | firstEnglishTranslationPublisher |
P149471
|
FINISHED |
| Object | New York Review Books |
E94843
|
NE 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: New York Review Books | Statement: [The Post-Office Girl, firstEnglishTranslationPublisher, New York Review Books]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstEnglishTranslationPublisher Context triple: [The Post-Office Girl, firstEnglishTranslationPublisher, New York Review Books]
-
A.
publisherOfTranslation
chosen
Indicates that an entity serves as the publisher responsible for issuing a translated version of a work.
-
B.
firstPublisher
Indicates that an entity is the original or earliest publisher of another entity (such as a work, edition, or resource).
-
C.
publisherOfEnglishEdition
Indicates that an entity serves as the publisher responsible for the English-language edition of another work or resource.
-
D.
firstEnglishTranslationYear
Indicates the year in which an entity was first translated into English.
-
E.
firstUKPublisher
Indicates that the subject was the first entity to publish the object in the United Kingdom.
- F. None of above.
Provenance (4 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_69f3496a1a588190bad9cbe9221144e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3552058528819098738251a1fca136 |
completed | June 19, 2026, 2:28 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:34 a.m.