Triple
T6692972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jheri Redding |
E152673
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object |
Nexxus
Nexxus is a professional hair care brand known for its salon-quality shampoos, conditioners, and styling products.
|
E610824
|
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: Nexxus | Statement: [Jheri Redding, founded, Nexxus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nexxus Context triple: [Jheri Redding, founded, Nexxus]
-
A.
Biolage
Biolage is a professional haircare brand known for salon-quality products that emphasize botanical ingredients and sustainable practices.
-
B.
Tresemmé
Tresemmé is a popular hair care brand known for its salon-inspired shampoos, conditioners, and styling products widely available in retail stores.
-
C.
Herbal Essences
Herbal Essences is a popular hair care brand known for its fragranced shampoos and conditioners often marketed with botanical and natural imagery.
-
D.
Garnier
Garnier is a French surname most famously associated with architect Charles Garnier, designer of the Paris Opéra.
-
E.
Redken
Redken is a professional haircare and hair color brand known for its salon-quality products and innovative, science-driven formulas.
- 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: Nexxus Triple: [Jheri Redding, founded, Nexxus]
Generated description
Nexxus is a professional hair care brand known for its salon-quality shampoos, conditioners, and styling products.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nexxus Target entity description: Nexxus is a professional hair care brand known for its salon-quality shampoos, conditioners, and styling products.
-
A.
Biolage
Biolage is a professional haircare brand known for salon-quality products that emphasize botanical ingredients and sustainable practices.
-
B.
Tresemmé
Tresemmé is a popular hair care brand known for its salon-inspired shampoos, conditioners, and styling products widely available in retail stores.
-
C.
Herbal Essences
Herbal Essences is a popular hair care brand known for its fragranced shampoos and conditioners often marketed with botanical and natural imagery.
-
D.
Garnier
Garnier is a French surname most famously associated with architect Charles Garnier, designer of the Paris Opéra.
-
E.
Redken
Redken is a professional haircare and hair color brand known for its salon-quality products and innovative, science-driven formulas.
- 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6b1955e448190adbfed7dc28f8c52 |
completed | March 27, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7b97210819086e88624c476fa24 |
completed | March 27, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69c6f8946b2c8190b18edff8523cf565 |
completed | March 27, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f9729d7881908f3c396690ffcae8 |
completed | March 27, 2026, 9:41 p.m. |
Created at: March 27, 2026, 2:05 p.m.