Triple
T22513292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The E. W. Scripps Company |
E556574
|
entity |
| Predicate | isMajorEnterpriseIn |
P22346
|
FINISHED |
| Object | American media industry |
—
|
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: American media industry | Statement: [The E. W. Scripps Company, isMajorEnterpriseIn, American media industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorEnterpriseIn Context triple: [The E. W. Scripps Company, isMajorEnterpriseIn, American media industry]
-
A.
isMajorCompanyIn
chosen
Indicates that a company is a leading or dominant business entity within a specified country, region, or market.
-
B.
hasMajorEmployerType
Indicates the type or category of major employer associated with an entity.
-
C.
hasMajorOrganization
Indicates that an entity is associated with or primarily represented by a major organization.
-
D.
isMajorEmployerLocationIn
Indicates that a location is a primary or significant site where an employer conducts its employment activities or has a major workforce presence.
-
E.
isMajor
Indicates that an entity holds primary or greater significance, importance, or rank relative to others in a given context.
- 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d62bea48190aaf34aa93bb3f67b |
completed | April 29, 2026, 1:22 a.m. |
| PD | Predicate disambiguation | batch_69ee625e3b408190a60c759fb0b28fe2 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:50 p.m.