Triple
T9330644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | If You Sit on My Lap Today |
E224511
|
entity |
| Predicate | animationStyleContext |
P20701
|
FINISHED |
| Object | stop-motion animation |
—
|
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: stop-motion animation | Statement: [If You Sit on My Lap Today, animationStyleContext, stop-motion animation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: animationStyleContext Context triple: [If You Sit on My Lap Today, animationStyleContext, stop-motion animation]
-
A.
styleTransitionRole
Indicates a role that an entity plays in enabling, guiding, or characterizing a change from one style or stylistic state to another.
-
B.
structuralStyle
Indicates the architectural or design style that characterizes the structure or form of an entity.
-
C.
symbolicStyle
Indicates that one entity employs or is characterized by a particular symbolic or emblematic style defined by the other entity.
-
D.
stylingFeature
chosen
Indicates a visual or design-related characteristic applied to an entity, such as formatting, layout, or aesthetic treatment.
-
E.
isAnimatedBy
Indicates that an entity’s motion or behavior is driven, controlled, or brought to life by another entity or process.
- 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_69ca8427a0c08190b749831d5ea98f02 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37ae4fcc81909be75d51e2dc455d |
completed | April 1, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69cc7a643924819097f01144734901cf |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:39 p.m.