Triple

T14117114
Position Surface form Disambiguated ID Type / Status
Subject Vicks E339800 entity
Predicate brandOf P1500 FINISHED
Object Vicks vaporizers E339800 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: Vicks vaporizers | Statement: [Vicks, brandOf, Vicks vaporizers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vicks vaporizers
Context triple: [Vicks, brandOf, Vicks vaporizers]
  • A. Vicks chosen
    Vicks is a well-known over-the-counter healthcare brand recognized for its cold, cough, and flu relief products such as VapoRub and cough syrups.
  • B. Air Wick
    Air Wick is a popular brand of air fresheners and home fragrance products known for its sprays, plug-ins, candles, and diffusers.
  • C. Bionaire
    Bionaire is a home-environment appliance brand known for products like air purifiers, humidifiers, and heaters focused on improving indoor air quality and comfort.
  • D. Febreze
    Febreze is a popular household odor-eliminating product line known for its air fresheners and fabric refreshers.
  • E. Atomizer
    Atomizer is a seminal 1986 noise rock album by Big Black, noted for its abrasive sound, drum machine rhythms, and influential role in underground rock.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6010a03c81909f5f160f8d1fa8fa completed April 14, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf0641008190b88efacc02ba5314 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:22 p.m.