Triple
T31755204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elsa's forces |
E810538
|
entity |
| Predicate | belongsToFranchiseOwner |
P34575
|
FINISHED |
| Object | The Walt Disney Company |
—
|
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: The Walt Disney Company | Statement: [Elsa's forces, belongsToFranchiseOwner, The Walt Disney Company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToFranchiseOwner Context triple: [Elsa's forces, belongsToFranchiseOwner, The Walt Disney Company]
-
A.
franchiseOwner
chosen
Indicates that one entity holds the ownership and operating rights of a franchise granted by another entity.
-
B.
franchiseOwnerOfSeries
Indicates that one entity holds the franchise ownership rights to a particular series.
-
C.
hasFranchiseConnection
Indicates a relationship where two entities are linked through a franchise arrangement, such as licensing, branding, or operational affiliation within the same franchise system.
-
D.
hasParentFranchise
Indicates that one franchise entity is the parent or overarching franchise of another franchise entity.
-
E.
ownsMajorFranchiseIn
Indicates that an entity has controlling or primary ownership of a major franchise operating within a specified location or jurisdiction.
- 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_69fe920a437081908d5174e8cf7a53a6 |
completed | May 9, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69fe919a9a6c8190acb4483f386e6db7 |
completed | May 9, 2026, 1:44 a.m. |
Created at: April 30, 2026, 11:29 p.m.