Triple
T9431241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Duke and Duchess |
E227378
|
entity |
| Predicate | showsAttitudeTowardSancho |
P43127
|
FINISHED |
| Object | exploit Sancho’s simplicity for sport |
—
|
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: exploit Sancho’s simplicity for sport | Statement: [The Duke and Duchess, showsAttitudeTowardSancho, exploit Sancho’s simplicity for sport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showsAttitudeTowardSancho Context triple: [The Duke and Duchess, showsAttitudeTowardSancho, exploit Sancho’s simplicity for sport]
-
A.
portraysDonJuanAs
Indicates that a subject represents or depicts Don Juan in a particular manner, role, or characterization.
-
B.
hasHumorousTreatmentOf
chosen
Indicates that one entity presents or portrays another entity in a humorous, comedic, or joking manner.
-
C.
isHumorousCharacter
Indicates that the character is portrayed in a humorous way or primarily serves a comedic role in the context.
-
D.
hasScherzo
Indicates that something (typically a musical work or movement) includes or is associated with a scherzo section or component.
-
E.
antagonistOf
Indicates a relationship where one entity actively opposes, conflicts with, or serves as an adversary to another.
- 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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e5ed7408190beda5fb078e9345a |
completed | April 1, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69cca55548488190b171ae695a3212de |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:49 p.m.