Triple
T1206089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night |
E25890
|
entity |
| Predicate | EnglishEditionPublicationYear |
P24631
|
FINISHED |
| Object | 1960 |
—
|
LITERAL 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: 1960 | Statement: [Night, EnglishEditionPublicationYear, 1960]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EnglishEditionPublicationYear Context triple: [Night, EnglishEditionPublicationYear, 1960]
-
A.
EnglishPublicationDate
Indicates the date on which something is (or was) published in English.
-
B.
EnglishEditionURL
Indicates the web address where the English-language edition or version of an item can be accessed.
-
C.
publisherOfEnglishEdition
Indicates that an entity serves as the publisher responsible for the English-language edition of another work or resource.
-
D.
publicationYearSpanishEdition
Indicates the year in which the Spanish-language edition of a work was published.
-
E.
isbnFirstEnglishEdition
Indicates that the object is the ISBN identifier corresponding to the first English-language edition of the subject work.
- F. None of above. chosen
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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdc314c88190b1b5953834bfce7b |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6078088190ba0221ae3368416c |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bbf83584819088c69366f58586cc |
completed | March 1, 2026, 10:21 p.m. |
Created at: March 1, 2026, 7:46 p.m.