Triple
T11959814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CMP Media |
E284637
|
entity |
| Predicate | notablePublication |
P4
|
FINISHED |
| Object | InformationWeek |
E956231
|
NE 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: InformationWeek | Statement: [CMP Media, notablePublication, InformationWeek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: InformationWeek Context triple: [CMP Media, notablePublication, InformationWeek]
-
A.
InformationWeek
chosen
InformationWeek is a long-running business technology magazine and online publication that provides news, analysis, and insights for IT professionals and enterprise decision-makers.
-
B.
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.
-
C.
InfoWorld
InfoWorld is a technology media publication that provides news, analysis, and reviews focused on enterprise IT, software development, and emerging technologies.
-
D.
PC World
PC World is a long-running computer and technology magazine known for its reviews, news, and analysis of consumer tech products and trends.
-
E.
Network Magazine
Network Magazine was a trade publication focused on computer networking technologies, trends, and professionals, published by CMP Media.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9036941948190b150369094551731 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f471d625c88190baed4ea08853988a |
completed | May 1, 2026, 9:26 a.m. |
Created at: April 8, 2026, 9:45 p.m.