Triple
T12300056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | When You Wish Upon a Star |
E293193
|
entity |
| Predicate | associatedWithCompanyLogo |
P104335
|
FINISHED |
| Object | Walt Disney Pictures logo fanfare |
—
|
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: Walt Disney Pictures logo fanfare | Statement: [When You Wish Upon a Star, associatedWithCompanyLogo, Walt Disney Pictures logo fanfare]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithCompanyLogo Context triple: [When You Wish Upon a Star, associatedWithCompanyLogo, Walt Disney Pictures logo fanfare]
-
A.
hasAssociatedCompany
Indicates that one entity is linked or connected to a company in an associated or affiliated manner.
-
B.
belongsToCompany
Indicates that an entity is owned, employed, or otherwise formally associated with a specific company.
-
C.
organizationAssociatedWith
Indicates that there is a formal or recognized connection or affiliation between an organization and another entity.
-
D.
memberCompany
Indicates that a company is formally part of, or affiliated as a member with, a larger organization, group, or association.
-
E.
associatedCompanyGlobalScope
Indicates that there is a relationship linking an entity to a company at a global (worldwide) organizational scope.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec02c008190a56aae60a3d9eff6 |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93f607a88819089e89fd263ae9937 |
completed | April 10, 2026, 6:20 p.m. |
Created at: April 8, 2026, 9:53 p.m.