Triple

T1292621
Position Surface form Disambiguated ID Type / Status
Subject Redken E27579 entity
Predicate hasProductLine P3585 FINISHED
Object Redken Extreme
Redken Extreme is a professional haircare line designed to strengthen and repair damaged or weakened hair.
 E27579 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: Redken Extreme | Statement: [Redken, hasProductLine, Redken Extreme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Redken Extreme
Context triple: [Redken, hasProductLine, Redken Extreme]
  • A. Redken
    Redken is a professional haircare and hair color brand known for its salon-quality products and innovative, science-driven formulas.
  • B. Schwarzkopf
    Schwarzkopf is a German surname most prominently associated with U.S. Army General Norman Schwarzkopf Jr., who led coalition forces in the Gulf War.
  • C. Revlon
    Revlon is a major American cosmetics, skincare, fragrance, and personal care company known for its mass-market beauty products and global brand presence.
  • D. Shampoo
    "Shampoo" is a 1975 satirical romantic comedy film set on the eve of the 1968 U.S. presidential election, starring Warren Beatty as a Beverly Hills hairdresser entangled in complex romantic and social relationships.
  • E. Kiehl's
    Kiehl's is an American skincare and cosmetics brand known for its apothecary-style stores and science-driven formulations.
  • 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: Redken Extreme
Triple: [Redken, hasProductLine, Redken Extreme]
Generated description
Redken Extreme is a professional haircare line designed to strengthen and repair damaged or weakened hair.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Redken Extreme
Target entity description: Redken Extreme is a professional haircare line designed to strengthen and repair damaged or weakened hair.
  • A. Redken chosen
    Redken is a professional haircare and hair color brand known for its salon-quality products and innovative, science-driven formulas.
  • B. Schwarzkopf
    Schwarzkopf is a German surname most prominently associated with U.S. Army General Norman Schwarzkopf Jr., who led coalition forces in the Gulf War.
  • C. Revlon
    Revlon is a major American cosmetics, skincare, fragrance, and personal care company known for its mass-market beauty products and global brand presence.
  • D. Shampoo
    "Shampoo" is a 1975 satirical romantic comedy film set on the eve of the 1968 U.S. presidential election, starring Warren Beatty as a Beverly Hills hairdresser entangled in complex romantic and social relationships.
  • E. Kiehl's
    Kiehl's is an American skincare and cosmetics brand known for its apothecary-style stores and science-driven formulations.
  • F. None of above.

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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0f09d5c81909e6dc036fe9c5b4a completed March 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbae7182081908b7045a15a2275d8 completed March 7, 2026, 11:55 p.m.
NEDg Description generation batch_69acbb4929bc8190829b933924691fc2 completed March 7, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69acbbfee7e88190b216beef1c862f64 completed March 7, 2026, 11:59 p.m.
Created at: March 1, 2026, 7:51 p.m.