Triple
T2842605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michelle Marciniak |
E62503
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object |
Sheex
Sheex is a performance bedding company known for its athletic-inspired, moisture-wicking sheets and sleepwear.
|
E303518
|
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: Sheex | Statement: [Michelle Marciniak, founded, Sheex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheex Context triple: [Michelle Marciniak, founded, Sheex]
-
A.
Brawny
Brawny is a popular American paper towel brand known for its strong, absorbent products and its iconic lumberjack-themed packaging.
-
B.
Condom
Condom is a small historic town in southwestern France, known for its medieval architecture and location in the Armagnac-producing region.
-
C.
Trottiera
Trottiera is one of the traditional bells housed in St Mark's Campanile in Venice, historically used to signal specific civic or religious events.
-
D.
Blistex
Blistex is an American company best known for producing lip care and other medicated skin care products.
-
E.
Biskinik
Biskinik is the official newspaper of the Choctaw Nation, providing news, cultural information, and community updates for Choctaw citizens.
- 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: Sheex Triple: [Michelle Marciniak, founded, Sheex]
Generated description
Sheex is a performance bedding company known for its athletic-inspired, moisture-wicking sheets and sleepwear.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sheex Target entity description: Sheex is a performance bedding company known for its athletic-inspired, moisture-wicking sheets and sleepwear.
-
A.
Brawny
Brawny is a popular American paper towel brand known for its strong, absorbent products and its iconic lumberjack-themed packaging.
-
B.
Condom
Condom is a small historic town in southwestern France, known for its medieval architecture and location in the Armagnac-producing region.
-
C.
Trottiera
Trottiera is one of the traditional bells housed in St Mark's Campanile in Venice, historically used to signal specific civic or religious events.
-
D.
Blistex
Blistex is an American company best known for producing lip care and other medicated skin care products.
-
E.
Biskinik
Biskinik is the official newspaper of the Choctaw Nation, providing news, cultural information, and community updates for Choctaw citizens.
- 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf1898748190b031a2bd2091c0c0 |
completed | March 7, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8d570388190b4ed81ace605c6c3 |
completed | March 10, 2026, 9:48 a.m. |
| NEDg | Description generation | batch_69afe9ba068881908727c82d5eddb974 |
completed | March 10, 2026, 9:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b00412e7448190898050f18f64ea9a |
completed | March 10, 2026, 11:44 a.m. |
Created at: March 6, 2026, 10:01 p.m.