Triple
T19318136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pier 1 Imports |
E483150
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | HomeGoods |
—
|
NE NERFINISHED |
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: HomeGoods | Statement: [Pier 1 Imports, competitor, HomeGoods]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HomeGoods Context triple: [Pier 1 Imports, competitor, HomeGoods]
-
A.
HomeGoods
chosen
HomeGoods is an American off-price home décor retail chain offering discounted furniture, housewares, and decorative accessories.
-
B.
Stuff
Stuff is a popular technology and gadget magazine known for its reviews, news, and features on consumer electronics and lifestyle tech.
-
C.
Stuff
Stuff was a 1970s American jazz-funk and R&B fusion band known for its tight groove, session-musician lineup, and influential live performances.
-
D.
Connections Marketplace
Connections Marketplace is an Amazon Publisher Services platform that enables publishers to access and manage demand from multiple advertising partners through a unified, streamlined marketplace.
-
E.
Etsy
Etsy is an online marketplace specializing in handmade, vintage, and unique factory-manufactured items, connecting independent sellers with buyers worldwide.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d85046c81909d972a6b369b0c2b |
completed | April 20, 2026, 11:27 a.m. |
Created at: April 10, 2026, 1:32 p.m.