Triple
T7713827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gawker Media |
E174831
|
entity |
| Predicate | parentCompanyOf |
P254
|
FINISHED |
| Object | Kotaku |
E682564
|
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: Kotaku | Statement: [Gawker Media, parentCompanyOf, Kotaku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kotaku Context triple: [Gawker Media, parentCompanyOf, Kotaku]
-
A.
Kotaku
chosen
Kotaku is a popular video game and entertainment website known for its news, reviews, and commentary on gaming culture.
-
B.
Gizmodo
Gizmodo is a technology and design-focused news and opinion website known for its coverage of gadgets, science, and digital culture.
-
C.
IGN.com
IGN.com is a popular entertainment and gaming media website known for its news, reviews, and videos covering video games, movies, TV, and pop culture.
-
D.
Engadget
Engadget is a technology news and reviews website that covers consumer electronics, gadgets, and digital culture.
-
E.
Deadspin
Deadspin is a sports and culture website known for its irreverent commentary, investigative reporting, and critical coverage of athletes, media, and fandom.
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ca8f048190a6ea27b8cee2f93e |
completed | March 27, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b508fa2081908ed05ca8c4815249 |
completed | March 29, 2026, 5:13 a.m. |
Created at: March 27, 2026, 4:04 p.m.