Triple
T1292625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Redken |
E27579
|
entity |
| Predicate | hasProductLine |
P3585
|
FINISHED |
| Object | Redken Chromatics |
E27579
|
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: Redken Chromatics | Statement: [Redken, hasProductLine, Redken Chromatics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Redken Chromatics Context triple: [Redken, hasProductLine, Redken Chromatics]
-
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.
Biolage
Biolage is a professional haircare brand known for salon-quality products that emphasize botanical ingredients and sustainable practices.
-
D.
Pureology
Pureology is a professional haircare brand best known for its sulfate-free, color-protecting products used in salons and at home.
-
E.
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.
- 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_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_69acce5fa07c8190a410461d51ef1f3a |
completed | March 8, 2026, 1:18 a.m. |
Created at: March 1, 2026, 7:51 p.m.