Triple
T19244202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IGN Entertainment |
E481205
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Ziff Davis, Inc. |
—
|
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: Ziff Davis, Inc. | Statement: [IGN Entertainment, partOf, Ziff Davis, Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ziff Davis, Inc. Context triple: [IGN Entertainment, partOf, Ziff Davis, Inc.]
-
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.
CNET Networks
CNET Networks was a pioneering online media company best known for its technology news, reviews, and product information websites.
-
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.
Journal Technologies, Inc.
Journal Technologies, Inc. is a software company that provides case management and electronic filing systems for courts and justice agencies.
-
E.
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.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faf47820819081e8b6af852bb1dd |
completed | April 20, 2026, 10:07 a.m. |
Created at: April 10, 2026, 1:27 p.m.