Triple
T38611281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Count of Monte Cristo (stage role) |
E934486
|
entity |
| Predicate | originalNovelPublicationCentury |
P15335
|
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: [The Count of Monte Cristo (stage role), originalNovelPublicationCentury, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalNovelPublicationCentury Context triple: [The Count of Monte Cristo (stage role), originalNovelPublicationCentury, 19th century]
-
A.
publicationCentury
Indicates the century during which a work was published.
-
B.
fictionalCenturyOfOrigin
Indicates the fictional century in which an entity is depicted as having originated or first appeared within its narrative world.
-
C.
firstWorkPublicationCentury
Indicates the century in which an entity’s first work was originally published.
-
D.
firstAuthorPublicationCentury
Indicates the century in which the first author of a work published it.
-
E.
originalCentury
chosen
Indicates the century in which something was originally created, produced, or came into existence.
- 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_69f76eccd6d081909ccce171011739a1 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a2026248190b894436a578d79ac |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.