Triple
T14122315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mickey Mouse Clubhouse |
E339933
|
entity |
| Predicate | usesNarrationStyle |
P26602
|
FINISHED |
| Object | direct address to viewers |
—
|
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: direct address to viewers | Statement: [Mickey Mouse Clubhouse, usesNarrationStyle, direct address to viewers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesNarrationStyle Context triple: [Mickey Mouse Clubhouse, usesNarrationStyle, direct address to viewers]
-
A.
usesNarrativeStyle
chosen
Indicates that one entity employs or adopts a particular narrative style in presenting or structuring content or information.
-
B.
settingOfNarration
Indicates the place, time, or context in which a narrated event or story takes place.
-
C.
hasNarration
Indicates that an entity provides spoken or written commentary or storytelling for another entity, such as a work, event, or scene.
-
D.
narrativeStyle
Indicates how a narrative is told, such as the point of view, tone, and structural approach used to present a story or account.
-
E.
appearsInNarrativeStyle
Indicates that one entity is presented or expressed using the narrative style, voice, or storytelling mode associated with another entity.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de6095548881908a9e66adccca92d2 |
completed | April 14, 2026, 3:43 p.m. |
| PD | Predicate disambiguation | batch_69de05b5e7a08190a16be9ad8b92b80c |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:22 p.m.