Triple

T16000976
Position Surface form Disambiguated ID Type / Status
Subject Chesebrough Manufacturing Company E388089 entity
Predicate brand P1500 FINISHED
Object Vaseline E297556 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: Vaseline | Statement: [Chesebrough Manufacturing Company, brand, Vaseline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vaseline
Context triple: [Chesebrough Manufacturing Company, brand, Vaseline]
  • A. Vaseline chosen
    Vaseline is a well-known skincare brand best recognized for its petroleum jelly products used to moisturize, protect, and heal dry or damaged skin.
  • B. ChapStick lip balm
    ChapStick lip balm is a popular brand of medicated and moisturizing lip balm widely used to prevent and treat chapped lips.
  • C. Cicaplast
    Cicaplast is La Roche-Posay’s skin-repair line formulated to soothe, protect, and support the healing of sensitive or damaged skin.
  • D. Wax
    Wax was a 1980s pop-rock duo featuring Andrew Gold and Graham Gouldman, best known for their catchy, synth-driven hit "Building a Bridge to Your Heart."
  • E. Wax
    "Wax" is a 1935 mystery novel by British crime writer Ethel Lina White, centered on sinister events surrounding a waxworks museum.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157fba9748190ac8fc27b167d49f7 completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf1edc7c81908fdd0fa00418d7a7 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.