Triple
T33265089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borachio |
E851621
|
entity |
| Predicate | exposesPlotTo |
P146205
|
FINISHED |
| Object | Leonato |
—
|
NE NERFINISHED |
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: Leonato | Statement: [Borachio, exposesPlotTo, Leonato]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exposesPlotTo Context triple: [Borachio, exposesPlotTo, Leonato]
-
A.
exposesTo
Indicates that one entity subjects another entity to contact with or influence from something, typically involving risk, effect, or experience.
-
B.
connectedToPlotElement
chosen
Indicates that one element is linked or related to a specific plot element within a narrative structure.
-
C.
enablesPlotElement
Indicates that one element of a narrative makes possible, sets up, or allows the occurrence of another specific plot element.
-
D.
exposesFunction
Indicates that one entity makes a function available for use or access by another entity or context.
-
E.
hasPlot
Indicates that an entity (such as a narrative work) possesses or is associated with a specific storyline or sequence of events.
- 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_69f349642dac81908a37ffcc3b976a55 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:32 a.m.