Triple
T13002468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Class B common stock |
E322201
|
entity |
| Predicate | underlyingEntityIndustry |
P6744
|
FINISHED |
| Object | media and telecommunications |
—
|
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: media and telecommunications | Statement: [Class B common stock, underlyingEntityIndustry, media and telecommunications]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: underlyingEntityIndustry Context triple: [Class B common stock, underlyingEntityIndustry, media and telecommunications]
-
A.
industryOfUnderlyingCompany
chosen
Indicates the industry sector in which the underlying company associated with this entity operates.
-
B.
industryOfUnderlyingIssuer
Indicates the industry sector to which the underlying issuer in a financial or contractual arrangement belongs.
-
C.
containsIndustry
Indicates that one entity includes or encompasses a particular industry within its scope, structure, or operations.
-
D.
targetCompanyIndustry
Indicates that a company operates within or is associated with a specified industry sector.
-
E.
ownerSector
Indicates the sector or industry category to which the owner of an entity belongs.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9828748190b2ad9ea29180b7d3 |
completed | April 10, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69d97dc153a081909d13a694993f074a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:47 p.m.