Triple
T1452786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The New York Times Company |
E31330
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Wirecutter |
E165848
|
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: Wirecutter | Statement: [The New York Times Company, hasBrand, Wirecutter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wirecutter Context triple: [The New York Times Company, hasBrand, Wirecutter]
-
A.
Wirecutter
chosen
Wirecutter is a product review and recommendation website known for its rigorously researched buying guides across a wide range of consumer goods.
-
B.
Wirecutter, Inc.
Wirecutter, Inc. is a product review and recommendation website known for its rigorously researched buying guides across a wide range of consumer goods.
-
C.
consumer reports
Consumer Reports is an independent, nonprofit organization known for testing and reviewing products and services to help consumers make informed purchasing decisions.
-
D.
Engadget
Engadget is a technology news and reviews website that covers consumer electronics, gadgets, and digital culture.
-
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.
- 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c57d34cc8190801b769d9d9b2e2e |
completed | March 1, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0e71ffd481909dfd0f77201dc17c |
completed | March 8, 2026, 5:51 a.m. |
Created at: March 1, 2026, 8 p.m.