Triple
T33642343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cowles family |
E861864
|
entity |
| Predicate | hasBusinessEntity |
P21206
|
FINISHED |
| Object | Cowles Media 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: Cowles Media Company | Statement: [Cowles family, hasBusinessEntity, Cowles Media Company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBusinessEntity Context triple: [Cowles family, hasBusinessEntity, Cowles Media Company]
-
A.
hasBusiness
chosen
Indicates that one entity owns, operates, or is formally associated with a business entity.
-
B.
hasBusinessIn
Indicates that one entity conducts, operates, or maintains business activities within the jurisdiction, location, or domain of another entity.
-
C.
isBusinessOf
Indicates that one entity is the business, commercial concern, or enterprise associated with, owned by, or operated by another entity.
-
D.
hasBusinesses
Indicates that an entity owns, operates, or is associated with one or more businesses.
-
E.
businessEntity
Indicates a relationship where an entity functions as or is classified as a business or commercial organization.
- 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_69f3498280c48190bcc3494017d14234 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 1, 2026, 1:42 a.m.