Triple
T27809857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Critter Country (Disneyland) |
E702488
|
entity |
| Predicate | primaryFranchiseRepresentation |
P116197
|
FINISHED |
| Object | Winnie the Pooh |
—
|
NE NERFINISHED |
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: Winnie the Pooh | Statement: [Critter Country (Disneyland), primaryFranchiseRepresentation, Winnie the Pooh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryFranchiseRepresentation Context triple: [Critter Country (Disneyland), primaryFranchiseRepresentation, Winnie the Pooh]
-
A.
hasFranchiseRepresentation
Indicates that one entity serves as an official franchise representative or outlet for another entity.
-
B.
representsAtFranchiseLevel
chosen
Indicates that an entity acts or is recognized as a representative at the franchise (rather than local or individual) level.
-
C.
representsFranchiseOrigin
Indicates that one entity is the original source or originating work from which the other entity’s franchise is derived.
-
D.
recognizedFranchise
Indicates that an entity is officially acknowledged or designated as part of a particular franchise or franchise system.
-
E.
participatingFranchise
Indicates that a franchise is involved as a participant in a particular program, event, or arrangement.
- 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_69ef840a16748190926719ab96120bae |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69ff97637ad881908c24fe2cc6b036db |
completed | May 9, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69ff96c43a808190942eeda1934602db |
completed | May 9, 2026, 8:19 p.m. |
Created at: April 27, 2026, 5:41 p.m.