Triple
T13289620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Popular Electronics |
E316533
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Ziff-Davis |
E563061
|
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: Ziff-Davis | Statement: [Popular Electronics, publisher, Ziff-Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ziff-Davis Context triple: [Popular Electronics, publisher, Ziff-Davis]
-
A.
Ziff-Davis Publishing Company
chosen
Ziff-Davis Publishing Company is an American media and publishing firm best known for its influential magazines in science fiction, technology, and computing.
-
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.
International Data Group
International Data Group is a global technology media, data, and marketing services company known for publishing tech-focused content and organizing industry events worldwide.
-
D.
United Business Media
United Business Media was a global business-to-business media and events company known for publishing, trade shows, and information services across various industry sectors.
-
E.
Journal Technologies, Inc.
Journal Technologies, Inc. is a software company that provides case management and electronic filing systems for courts and justice agencies.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99077a8f48190b1163448a3a978a2 |
completed | April 11, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716d4a6f48190a2020e11e887be2e |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:27 p.m.