Triple
T7117188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wirecutter |
E165848
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Wirecutter Deals |
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 Deals | Statement: [Wirecutter, hasPart, Wirecutter Deals]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wirecutter Deals Context triple: [Wirecutter, hasPart, Wirecutter Deals]
-
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.
Town Deals
Town Deals are localized investment agreements in the UK that provide targeted funding and support to help towns drive economic growth, regeneration, and long-term development.
-
C.
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.
-
D.
HomeGoods
HomeGoods is an American off-price home décor retail chain offering discounted furniture, housewares, and decorative accessories.
-
E.
consumer reports
Consumer Reports is an independent, nonprofit organization known for testing and reviewing products and services to help consumers make informed purchasing decisions.
- 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.