Triple
T7117256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wirecutter, Inc. |
E165850
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Wirecutter, Inc. |
E165850
|
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, Inc. | Statement: [Wirecutter, Inc., name, Wirecutter, Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wirecutter, Inc. Context triple: [Wirecutter, Inc., name, Wirecutter, Inc.]
-
A.
Wirecutter, Inc.
chosen
Wirecutter, Inc. is a product review and recommendation website known for its rigorously researched buying guides across a wide range of consumer goods.
-
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.
Dollar Shave Club
Dollar Shave Club is a subscription-based personal grooming brand known for delivering affordable razors and shaving products directly to consumers, popularized by its viral marketing campaigns.
-
D.
Kogan
Kogan is a variant form of the Jewish surname Cohen, often arising from transliteration or regional spelling differences.
-
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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e617a528819085d4b8e1b5699966 |
completed | March 27, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79cc2bf2081908e912f26f29394bf |
completed | March 28, 2026, 9:17 a.m. |
Created at: March 27, 2026, 2:43 p.m.