Triple
T27018081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frozen III |
E680587
|
entity |
| Predicate | hasMarketingFranchise |
P195036
|
FINISHED |
| Object | Frozen merchandise |
—
|
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: Frozen merchandise | Statement: [Frozen III, hasMarketingFranchise, Frozen merchandise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMarketingFranchise Context triple: [Frozen III, hasMarketingFranchise, Frozen merchandise]
-
A.
isFranchised
Indicates that an entity operates under a franchise agreement authorized by another organization or brand.
-
B.
hasFranchisees
Indicates that an entity operates as a franchisor and maintains one or more franchisee relationships with other entities authorized to use its brand or business model.
-
C.
hasFranchiseRepresentation
Indicates that one entity serves as an official franchise representative or outlet for another entity.
-
D.
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.
-
E.
isFranchiseModel
Indicates that one entity operates under a franchising arrangement or business model authorized by another entity.
- 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_69eeeb5450988190bfc9a3c012ac463a |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69fd9ff026a48190bfec33deeb3b2c43 |
completed | May 8, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69fd97d805bc8190ba12f429d3ad04c7 |
completed | May 8, 2026, 7:59 a.m. |
| PDg | Predicate description generation | batch_69fd9fef7aac819089cc88dd3d00296d |
completed | May 8, 2026, 8:33 a.m. |
Created at: April 27, 2026, 7:07 a.m.