Triple
T31754286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imagination Pavilion airship (in-story) |
E810513
|
entity |
| Predicate | targetAudienceExperience |
P63265
|
FINISHED |
| Object | sense of wonder |
—
|
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: sense of wonder | Statement: [Imagination Pavilion airship (in-story), targetAudienceExperience, sense of wonder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetAudienceExperience Context triple: [Imagination Pavilion airship (in-story), targetAudienceExperience, sense of wonder]
-
A.
targetAudienceKnowledge
Indicates the level or type of prior knowledge that the intended audience is expected to have.
-
B.
targetAudienceRatingContext
Indicates the contextual conditions or setting (such as platform, region, or usage scenario) under which a particular audience rating is intended to apply.
-
C.
providesExperienceOf
Indicates that one entity enables or delivers the experience of another entity to someone or something.
-
D.
intendedViewerExperience
chosen
Indicates the type or quality of experience that a piece of content is designed or expected to provide to its viewers.
-
E.
targetAudienceTheme
Indicates the thematic focus or type of audience that a work, message, or product is specifically intended to appeal to or address.
- 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_69f348e340d48190b780fae618c51464 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fda5003cdc8190a558501271389912 |
completed | May 8, 2026, 8:55 a.m. |
| PD | Predicate disambiguation | batch_69fda05bfc2c819096821a5300e9bb24 |
completed | May 8, 2026, 8:35 a.m. |
Created at: April 30, 2026, 11:29 p.m.