Triple
T4948051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Decameron |
E111098
|
entity |
| Predicate | narrators |
P22050
|
FINISHED |
| Object | seven young women and three young men |
—
|
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: seven young women and three young men | Statement: [The Decameron, narrators, seven young women and three young men]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrators Context triple: [The Decameron, narrators, seven young women and three young men]
-
A.
narratorOf
Indicates that one entity serves as the narrator or storytelling voice for another entity, such as a text, story, or media work.
-
B.
narratorType
Indicates the narrative perspective or role from which a story or account is being told.
-
C.
numberOfNarrators
chosen
Indicates the quantity of distinct narrators associated with a given work or narrative.
-
D.
narratorRole
Indicates that one entity serves as the narrator of another entity (such as a story, text, or media work), specifying the narrative role or function it performs.
-
E.
narratedTo
Indicates that one entity tells or recounts a story, event, or information directly to another entity as the audience.
- 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_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd716520f08190862249efb2058fd4 |
completed | March 20, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3aa1388190b3e0c8ee1ba1e4fa |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:31 p.m.