Triple
T11572252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bubble Factory |
E274417
|
entity |
| Predicate | distributionPartnerType |
P29986
|
FINISHED |
| Object | major Hollywood studios |
—
|
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: major Hollywood studios | Statement: [The Bubble Factory, distributionPartnerType, major Hollywood studios]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distributionPartnerType Context triple: [The Bubble Factory, distributionPartnerType, major Hollywood studios]
-
A.
distributorType
chosen
Indicates the specific category or role of a distributor in relation to the distribution of a product or service.
-
B.
hasDistributionPartners
Indicates that an entity collaborates with other entities to distribute its products or services.
-
C.
distributionToPartners
Indicates the allocation or transfer of resources, benefits, or proceeds from a source entity to its partner entities.
-
D.
distributor
Indicates that an entity is responsible for supplying, delivering, or making another entity’s products or materials available to others.
-
E.
acquisitionPartner
Indicates a relationship where one entity collaborates with or assists another in acquiring a third entity, asset, or resource.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd6913881908becf188c0a7a275 |
completed | April 10, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69d85dcbacd0819094d4a1237055affa |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.