Triple
T31840004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Wilson (Dennis the Menace, 1993 film) |
E812777
|
entity |
| Predicate | underlyingEmotionTowardDennis |
P189454
|
FINISHED |
| Object | affection |
—
|
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: affection | Statement: [George Wilson (Dennis the Menace, 1993 film), underlyingEmotionTowardDennis, affection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: underlyingEmotionTowardDennis Context triple: [George Wilson (Dennis the Menace, 1993 film), underlyingEmotionTowardDennis, affection]
-
A.
intendedEmotion
Indicates the emotion that an action, expression, or communication is meant to evoke in its target, regardless of the actual emotion experienced.
-
B.
emotionalToneOfRelationshipWithTheodore
Indicates the overall emotional quality or tone characterizing an entity’s relationship with Theodore.
-
C.
emotionDisplayed
Indicates that an entity is outwardly expressing or showing a particular emotion.
-
D.
emotionTowardsWife
Indicates that a person experiences or expresses a particular emotion directed toward their wife.
-
E.
secondaryEmotion
Indicates that one emotion arises as a secondary, derivative, or reactive feeling in response to a primary emotion.
- 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_69f348ea7ffc8190a2ab43d80277cf59 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69fbc36bcac48190a726b40442c094d1 |
completed | May 6, 2026, 10:40 p.m. |
Created at: April 30, 2026, 11:49 p.m.