Triple
T22957899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | io9 |
E570811
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | G/O Media network |
—
|
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: G/O Media network | Statement: [io9, partOf, G/O Media network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: G/O Media network Context triple: [io9, partOf, G/O Media network]
-
A.
G/O Media
chosen
G/O Media is a digital media company that owns and operates a portfolio of online publications across technology, culture, sports, and entertainment.
-
B.
Audience Network
Audience Network is a now-defunct American cable and streaming television channel owned by DirecTV/AT&T, known for airing original series, sports, and acquired programming.
-
C.
CNET Networks
CNET Networks was a pioneering online media company best known for its technology news, reviews, and product information websites.
-
D.
Verizon Media
Verizon Media was a digital media and online advertising division of Verizon Communications that encompassed brands like Yahoo and AOL before being rebranded as Yahoo Inc.
-
E.
TruMedia Networks
TruMedia Networks is a sports analytics and technology company that provides data-driven tools and software solutions to professional teams, leagues, and media organizations.
- 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_69e245b212a88190b5259caf51606084 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181f21e588190a5a88a15c1b55dea |
completed | April 29, 2026, 3:58 a.m. |
Created at: April 17, 2026, 3:47 p.m.