Triple
T24385165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Thousand Acres (1997 film) |
E614725
|
entity |
| Predicate | distributorParentCompany |
P106803
|
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: [A Thousand Acres (1997 film), distributorParentCompany, The Walt Disney Company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distributorParentCompany Context triple: [A Thousand Acres (1997 film), distributorParentCompany, The Walt Disney Company]
-
A.
parentCompanyOfDistributor
chosen
Indicates that one company acts as the parent or owning company of another company that functions as its distributor.
-
B.
parentCompanyOfProducer
Indicates that one company is the parent company that owns or controls a producer entity.
-
C.
publisherParentCompany
Indicates that one company serves as the parent (owning or controlling) company of a given publisher.
-
D.
distributor
Indicates that an entity is responsible for supplying, delivering, or making another entity’s products or materials available to others.
-
E.
distributorType
Indicates the specific category or role of a distributor in relation to the distribution of a product or service.
- 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_69e2d7e362e481909e32fe4ef8269d4f |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f294540000819099bacb398a36204f |
completed | April 29, 2026, 11:29 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:03 a.m.