Triple
T38119349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sterling Entertainment Enterprises |
E951887
|
entity |
| Predicate | partOfIndustrySegment |
P94523
|
FINISHED |
| Object | regional sports networks ownership |
—
|
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: regional sports networks ownership | Statement: [Sterling Entertainment Enterprises, partOfIndustrySegment, regional sports networks ownership]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfIndustrySegment Context triple: [Sterling Entertainment Enterprises, partOfIndustrySegment, regional sports networks ownership]
-
A.
isPartOfIndustry
Indicates that one entity belongs to, operates within, or is categorized under a particular industry sector.
-
B.
associatedCompanyBusinessSegment
chosen
Indicates that a company is linked to a specific business segment through its operations, products, or services.
-
C.
ownerSector
Indicates the sector or industry category to which the owner of an entity belongs.
-
D.
containsIndustry
Indicates that one entity includes or encompasses a particular industry within its scope, structure, or operations.
-
E.
sectorOfOperation
Indicates the industry, domain, or field within which an entity conducts its primary activities or operations.
- 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_69f76f07734c8190814e937e12257a78 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a01ac8b4ac881908aa52079c985ddac |
completed | May 11, 2026, 10:16 a.m. |
| PD | Predicate disambiguation | batch_6a01aa7fa7b48190b4911aa6bcabe7eb |
completed | May 11, 2026, 10:07 a.m. |
Created at: May 3, 2026, 4:21 p.m.