Triple
T7713815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gawker Media |
E174831
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object |
Gizmodo
Gizmodo is a technology and design-focused news and opinion website known for its coverage of gadgets, science, and digital culture.
|
E682562
|
NE FINISHED |
How this triple was built (4 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: Gizmodo | Statement: [Gawker Media, owns, Gizmodo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gizmodo Context triple: [Gawker Media, owns, Gizmodo]
-
A.
Engadget
Engadget is a technology news and reviews website that covers consumer electronics, gadgets, and digital culture.
-
B.
Gawker Media
Gawker Media was a now-defunct American online media company known for its network of influential blogs covering gossip, technology, feminism, and pop culture.
-
C.
Wired magazine
Wired magazine is an American technology and culture publication known for its in-depth coverage of digital innovation, science, and the impact of emerging technologies on society.
-
D.
Boing Boing
Boing Boing is a long-running, influential blog and online magazine that covers technology, culture, science fiction, and digital rights with a quirky, countercultural tone.
-
E.
Fast Company
Fast Company is a leading American business media brand and magazine focused on innovation in technology, leadership, and design.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gizmodo Triple: [Gawker Media, owns, Gizmodo]
Generated description
Gizmodo is a technology and design-focused news and opinion website known for its coverage of gadgets, science, and digital culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gizmodo Target entity description: Gizmodo is a technology and design-focused news and opinion website known for its coverage of gadgets, science, and digital culture.
-
A.
Engadget
Engadget is a technology news and reviews website that covers consumer electronics, gadgets, and digital culture.
-
B.
Gawker Media
Gawker Media was a now-defunct American online media company known for its network of influential blogs covering gossip, technology, feminism, and pop culture.
-
C.
Wired magazine
Wired magazine is an American technology and culture publication known for its in-depth coverage of digital innovation, science, and the impact of emerging technologies on society.
-
D.
Boing Boing
Boing Boing is a long-running, influential blog and online magazine that covers technology, culture, science fiction, and digital rights with a quirky, countercultural tone.
-
E.
Fast Company
Fast Company is a leading American business media brand and magazine focused on innovation in technology, leadership, and design.
- F. None of above. chosen
Provenance (5 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_69c8acd3e9f88190adf42ab42c21b722 |
completed | March 29, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69c8adbca88c819080cf255728a986b3 |
completed | March 29, 2026, 4:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8ae50d69881909530db8d874dace2 |
completed | March 29, 2026, 4:45 a.m. |
Created at: March 27, 2026, 4:04 p.m.