Triple
T22957900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | io9 |
E570811
|
entity |
| Predicate | previouslyOwnedBy |
P347
|
FINISHED |
| Object | Gawker Media |
—
|
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: Gawker Media | Statement: [io9, previouslyOwnedBy, Gawker Media]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gawker Media Context triple: [io9, previouslyOwnedBy, Gawker Media]
-
A.
Gawker Media
chosen
Gawker Media was a now-defunct American online media company known for its network of influential blogs covering gossip, technology, feminism, and pop culture.
-
B.
Relativity Media
Relativity Media is an American film and media company known for financing, producing, and distributing a wide range of Hollywood movies across various genres.
-
C.
Vice Media
Vice Media is a digital media and broadcasting company known for its youth-oriented news, culture, and lifestyle content across online, television, and print platforms.
-
D.
Cheezburger Network
Cheezburger Network is a humor and entertainment website network best known for hosting viral meme and image macro sites like I Can Has Cheezburger?.
-
E.
Abrams Media
Abrams Media is a digital media company known for operating a portfolio of news and commentary websites across politics, law, and pop culture.
- 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.