Triple
T18861927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CBS Interactive |
E461331
|
entity |
| Predicate | operated |
P1688
|
FINISHED |
| Object | CNET |
—
|
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: CNET | Statement: [CBS Interactive, operated, CNET]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CNET Context triple: [CBS Interactive, operated, CNET]
-
A.
CNET
CNET is a United States Navy command responsible for overseeing education and training programs for naval personnel.
-
B.
CNET
chosen
CNET is a major technology news and reviews website known for its coverage of consumer electronics, software, and digital culture.
-
C.
CNET Networks
CNET Networks was a pioneering online media company best known for its technology news, reviews, and product information websites.
-
D.
TechRepublic
TechRepublic is an online trade publication and community that provides news, analysis, and resources for IT professionals and technology decision-makers.
-
E.
Engadget
Engadget is a technology news and reviews website that covers consumer electronics, gadgets, and digital culture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c06184d88190bd05413a07a8c9ce |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:57 a.m.