Triple
T21922276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GreatCall |
E541348
|
entity |
| Predicate | acquiredBy |
P347
|
FINISHED |
| Object | Best Buy |
—
|
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: Best Buy | Statement: [GreatCall, acquiredBy, Best Buy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Best Buy Context triple: [GreatCall, acquiredBy, Best Buy]
-
A.
Best Buy
chosen
Best Buy is a major American consumer electronics retail chain known for selling computers, appliances, and entertainment products through large-format stores and online.
-
B.
Circuit City
Circuit City was a major American consumer electronics and appliance retail chain that rose to prominence in the late 20th century before ultimately declaring bankruptcy and closing its stores.
-
C.
Fry’s Electronics
Fry’s Electronics was a now-defunct American big-box retail chain known for its large, themed stores selling consumer electronics, computers, and appliances.
-
D.
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."
-
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 (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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1233c29008190b84ae551b14eb2db |
completed | April 28, 2026, 9:14 p.m. |
Created at: April 16, 2026, 7:45 p.m.