Triple
T14420859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Logitech |
E357578
|
entity |
| Predicate | acquired |
P2511
|
FINISHED |
| Object | Blue Microphones |
E1099394
|
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: Blue Microphones | Statement: [Logitech, acquired, Blue Microphones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue Microphones Context triple: [Logitech, acquired, Blue Microphones]
-
A.
Blue Microphones
chosen
Blue Microphones is an audio equipment brand best known for its high-quality USB and XLR microphones widely used in music production, podcasting, and streaming.
-
B.
Mackie
Mackie is a British actress best known for playing Bill Potts, a companion of the Doctor, in the long-running television series Doctor Who.
-
C.
Mackie
Mackie is the surname of American rapper Remy Ma, known for her influential role in East Coast hip hop and appearances on reality television.
-
D.
Antares Audio Technologies
Antares Audio Technologies is a music software company best known for creating the influential pitch-correction tool Auto-Tune, widely used in both music production and vocal performance.
-
E.
Ayre Acoustics
Ayre Acoustics is a high-end American audio equipment manufacturer renowned for its audiophile-grade amplifiers, DACs, and other hi-fi components.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de910eb354819089d5d5a46919eb49 |
completed | April 14, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd648784048190a9c7e95bfeec8b23 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:18 a.m.