Triple
T18861932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CBS Interactive |
E461331
|
entity |
| Predicate | operated |
P1688
|
FINISHED |
| Object | ZDNet |
—
|
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: ZDNet | Statement: [CBS Interactive, operated, ZDNet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZDNet Context triple: [CBS Interactive, operated, ZDNet]
-
A.
ZDNet
chosen
ZDNet is a technology news and business IT publication that provides analysis, reviews, and insights on the tech industry for professionals and enthusiasts.
-
B.
CNET
CNET is a United States Navy command responsible for overseeing education and training programs for naval personnel.
-
C.
CNET
CNET is a major technology news and reviews website known for its coverage of consumer electronics, software, and digital culture.
-
D.
TechRepublic
TechRepublic is an online trade publication and community that provides news, analysis, and resources for IT professionals and technology decision-makers.
-
E.
Computerworld
Computerworld is a long-running information technology magazine and online publication focused on news, analysis, and insights for IT professionals and business technology leaders.
- 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.