Triple

T14587088
Position Surface form Disambiguated ID Type / Status
Subject Pantene E342343 entity
Predicate hasProductLine P3585 FINISHED
Object Pantene anti-dandruff shampoos 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 anti-dandruff shampoos | Statement: [Pantene, hasProductLine, Pantene anti-dandruff shampoos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pantene anti-dandruff shampoos
Context triple: [Pantene, hasProductLine, Pantene anti-dandruff shampoos]
  • 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. Head & Shoulders
    Head & Shoulders is a widely known anti-dandruff shampoo and hair care brand owned by Procter & Gamble.
  • E. Kerium DS Anti-Dandruff Shampoo
    Kerium DS Anti-Dandruff Shampoo is a specialized hair-care product formulated to treat persistent dandruff and soothe irritated, flaky scalps.
  • 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.