Triple
T18351485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Killing Commendatore |
E439675
|
entity |
| Predicate | publicationYearJapaneseEdition |
P92879
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [Killing Commendatore, publicationYearJapaneseEdition, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicationYearJapaneseEdition Context triple: [Killing Commendatore, publicationYearJapaneseEdition, 2017]
-
A.
publisherJapaneseEdition
Indicates that an entity serves as the publisher responsible for the Japanese edition of another work or resource.
-
B.
correctedEditionYear
Indicates the year in which a corrected or revised edition of a work was published or released.
-
C.
editionPublicationYear
chosen
Indicates the calendar year in which a particular edition of a work was published.
-
D.
publicationYearSpanishEdition
Indicates the year in which the Spanish-language edition of a work was published.
-
E.
hasFirstEditionYear
Indicates the year in which the first edition of an item (such as a work, book, or publication) was originally released or published.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f83b648190b473cf611851c666 |
completed | April 19, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:37 a.m.