Triple
T4575112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assassination of Napoleon |
E123123
|
entity |
| Predicate | hasWorkPublicationCentury |
P58043
|
FINISHED |
| Object | 19th century |
—
|
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: 19th century | Statement: [Assassination of Napoleon, hasWorkPublicationCentury, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkPublicationCentury Context triple: [Assassination of Napoleon, hasWorkPublicationCentury, 19th century]
-
A.
firstWorkPublicationCentury
Indicates the century in which an entity’s first work was originally published.
-
B.
hasPublication
Indicates that an entity is associated with or responsible for a specific publication.
-
C.
hasNotablePublicationType
Indicates that an entity is associated with a publication of a specific notable type or category.
-
D.
hasResearchOutput
Indicates that an entity produces, is associated with, or is responsible for a particular research output or scholarly work.
-
E.
notableWorkPublicationDate
Indicates the date on which a notable work associated with an entity was first published.
- 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58c9f0bc81908d87f01ab067818a |
completed | March 20, 2026, 2:25 p.m. |
| PD | Predicate disambiguation | batch_69bd5228b70c8190ac48705e35a710c1 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56b4a9508190acdb888eef18f1ee |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:10 p.m.