Triple
T6692924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biolage |
E152672
|
entity |
| Predicate | hasProductLine |
P3585
|
FINISHED |
| Object | Biolage Colorlast |
E152672
|
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: Biolage Colorlast | Statement: [Biolage, hasProductLine, Biolage Colorlast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biolage Colorlast Context triple: [Biolage, hasProductLine, Biolage Colorlast]
-
A.
Biolage
chosen
Biolage is a professional haircare brand known for salon-quality products that emphasize botanical ingredients and sustainable practices.
-
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.
Tresemmé
Tresemmé is a popular hair care brand known for its salon-inspired shampoos, conditioners, and styling products widely available in retail stores.
-
D.
Redken
Redken is a professional haircare and hair color brand known for its salon-quality products and innovative, science-driven formulas.
-
E.
Sunsilk
Sunsilk is a popular global hair care brand known for its shampoos and conditioners, owned by the multinational company Unilever.
- 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_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. |
Created at: March 27, 2026, 2:05 p.m.