Triple
T14587085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pantene |
E342343
|
entity |
| Predicate | hasProductLine |
P3585
|
FINISHED |
| Object | Pantene styling mousse |
E342343
|
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: Pantene styling mousse | Statement: [Pantene, hasProductLine, Pantene styling mousse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pantene styling mousse Context triple: [Pantene, hasProductLine, Pantene styling mousse]
-
A.
Pantene
chosen
Pantene is a globally recognized hair care brand known for its shampoos, conditioners, and styling products that emphasize hair health and shine.
-
B.
Garnier Fructis
Garnier Fructis is a popular hair care brand known for its fruit-based formulas and wide range of shampoos, conditioners, and styling products.
-
C.
Sunsilk
Sunsilk is a popular global hair care brand known for its shampoos and conditioners, owned by the multinational company Unilever.
-
D.
Herbal Essences
Herbal Essences is a popular hair care brand known for its fragranced shampoos and conditioners often marketed with botanical and natural imagery.
-
E.
Clairol
Clairol is a long-established American personal care brand best known for its at-home hair color and hair care products.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb421bb308190a457425429ef6aa5 |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94bef27481908c108110dbf21780 |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:24 a.m.