Triple
T7169072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon Echo |
E167144
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Philips Hue |
E165148
|
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: Philips Hue | Statement: [Amazon Echo, integratesWith, Philips Hue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philips Hue Context triple: [Amazon Echo, integratesWith, Philips Hue]
-
A.
Philips Hue
chosen
Philips Hue is a popular line of smart LED lighting products that can be wirelessly controlled, automated, and customized via apps and smart home platforms.
-
B.
Philips Lighting
Philips Lighting, now known as Signify, is a global leader in lighting products, systems, and services for professional and consumer markets.
-
C.
L&M Lights
L&M Lights is a lighter, lower-tar and nicotine variant of the L&M cigarette brand.
-
D.
Ring Smart Lighting
Ring Smart Lighting is a line of motion-activated, app-connected outdoor and indoor lights designed to enhance home security and integrate with Ring’s smart home ecosystem.
-
E.
Sylvania Electric Products
Sylvania Electric Products was a major American manufacturer of radio and television tubes, consumer electronics, and lighting products that became part of GTE through acquisition.
- 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_69c68888c10c819095e0383020225758 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e85c606081909f76d76fc5b90bc8 |
completed | March 27, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b9094a8c81909e9d5b91ec714831 |
completed | March 28, 2026, 11:18 a.m. |
Created at: March 27, 2026, 2:48 p.m.