Triple
T7487452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hassan Khosrowshahi |
E176917
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Future Shop |
E667673
|
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: Future Shop | Statement: [Hassan Khosrowshahi, founded, Future Shop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Future Shop Context triple: [Hassan Khosrowshahi, founded, Future Shop]
-
A.
Future Shop
chosen
Future Shop was a major Canadian consumer electronics retail chain that became one of the country’s largest big-box tech retailers before its eventual closure and conversion of many locations to Best Buy.
-
B.
Xnet
Xnet is the underground, encrypted peer-to-peer communication network used by teens to evade government surveillance in Cory Doctorow’s novel "Little Brother."
-
C.
Sears Canada
Sears Canada was a major Canadian department store chain that operated retail stores, catalog, and online shopping until its closure in 2018.
-
D.
Best Buy
Best Buy is a major American consumer electronics retail chain known for selling computers, appliances, and entertainment products through large-format stores and online.
-
E.
Micro Center
Micro Center is a U.S.-based retail chain specializing in computers, consumer electronics, and related accessories.
- 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_69c69f24ac508190bb98fe927c0bd065 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5582adc81908b68439762965d88 |
completed | March 27, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84600d65481908518bc0d7ffcb373 |
completed | March 28, 2026, 9:20 p.m. |
Created at: March 27, 2026, 3:43 p.m.