Triple
T7113361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L&M |
E165756
|
entity |
| Predicate | hasProductVariant |
P455
|
FINISHED |
| Object |
L&M Lights
L&M Lights is a lighter, lower-tar and nicotine variant of the L&M cigarette brand.
|
E642846
|
NE FINISHED |
How this triple was built (4 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: L&M Lights | Statement: [L&M, hasProductVariant, L&M Lights]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: L&M Lights Context triple: [L&M, hasProductVariant, L&M Lights]
-
A.
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.
-
B.
Philips Hue
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.
-
C.
Winston Lights
Winston Lights is a lighter-tar, lower-nicotine variant of the Winston brand of cigarettes marketed as a milder smoking option.
-
D.
Philips Lighting
Philips Lighting, now known as Signify, is a global leader in lighting products, systems, and services for professional and consumer markets.
-
E.
Miss K lamp
The Miss K lamp is a contemporary designer table lamp known for its translucent shade and soft, diffused light, created by renowned French designer Philippe Starck.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: L&M Lights Triple: [L&M, hasProductVariant, L&M Lights]
Generated description
L&M Lights is a lighter, lower-tar and nicotine variant of the L&M cigarette brand.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: L&M Lights Target entity description: L&M Lights is a lighter, lower-tar and nicotine variant of the L&M cigarette brand.
-
A.
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.
-
B.
Philips Hue
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.
-
C.
Winston Lights
Winston Lights is a lighter-tar, lower-nicotine variant of the Winston brand of cigarettes marketed as a milder smoking option.
-
D.
Philips Lighting
Philips Lighting, now known as Signify, is a global leader in lighting products, systems, and services for professional and consumer markets.
-
E.
Miss K lamp
The Miss K lamp is a contemporary designer table lamp known for its translucent shade and soft, diffused light, created by renowned French designer Philippe Starck.
- F. None of above. chosen
Provenance (5 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_69c6888120f081908f8f01b201dc4a4c |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5ef813c8190bec0ab0cbae430e5 |
completed | March 27, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79cbc35d48190974e207eb98dcbe3 |
completed | March 28, 2026, 9:17 a.m. |
| NEDg | Description generation | batch_69c79d31a9e8819096e6a3040b1852a9 |
completed | March 28, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c79dcae54c8190b06e687236373f68 |
completed | March 28, 2026, 9:22 a.m. |
Created at: March 27, 2026, 2:43 p.m.