Triple
T7713828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gawker Media |
E174831
|
entity |
| Predicate | parentCompanyOf |
P254
|
FINISHED |
| Object | Lifehacker |
E682565
|
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: Lifehacker | Statement: [Gawker Media, parentCompanyOf, Lifehacker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lifehacker Context triple: [Gawker Media, parentCompanyOf, Lifehacker]
-
A.
Lifehacker
chosen
Lifehacker is a technology and productivity blog that offers tips, tricks, and how-to guides to help readers optimize their daily lives and work.
-
B.
Wirecutter
Wirecutter is a product review and recommendation website known for its rigorously researched buying guides across a wide range of consumer goods.
-
C.
Gizmodo
Gizmodo is a technology and design-focused news and opinion website known for its coverage of gadgets, science, and digital culture.
-
D.
Fast Company
Fast Company is a leading American business media brand and magazine focused on innovation in technology, leadership, and design.
-
E.
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.
- 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.