Triple

T7113410
Position Surface form Disambiguated ID Type / Status
Subject Altria Group E165757 entity
Predicate brandPortfolioIncludes P18121 FINISHED
Object Skoal
Skoal is a leading U.S. smokeless tobacco brand best known for its moist snuff products.
E642851 NE FINISHED

How this triple was built (4 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: Skoal | Statement: [Altria Group, brandPortfolioIncludes, Skoal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skoal
Context triple: [Altria Group, brandPortfolioIncludes, Skoal]
  • A. Brillo
    Brillo is a lightweight, Android-based operating system developed by Google for powering and managing Internet of Things (IoT) devices.
  • B. Lemonal
    Lemonal is a small rural village in Belize known for its traditional Creole community and proximity to wetlands and wildlife.
  • C. Opekta
    Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
  • D. Looz
    Looz is the historical name of the medieval County of Loon, a former principality in what is now eastern Belgium.
  • E. Axe
    Axe is a popular men’s grooming brand known for its deodorants, body sprays, and personal care products marketed with a youthful, edgy image.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Skoal
Triple: [Altria Group, brandPortfolioIncludes, Skoal]
Generated description
Skoal is a leading U.S. smokeless tobacco brand best known for its moist snuff products.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Skoal
Target entity description: Skoal is a leading U.S. smokeless tobacco brand best known for its moist snuff products.
  • A. Brillo
    Brillo is a lightweight, Android-based operating system developed by Google for powering and managing Internet of Things (IoT) devices.
  • B. Lemonal
    Lemonal is a small rural village in Belize known for its traditional Creole community and proximity to wetlands and wildlife.
  • C. Opekta
    Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
  • D. Looz
    Looz is the historical name of the medieval County of Loon, a former principality in what is now eastern Belgium.
  • E. Axe
    Axe is a popular men’s grooming brand known for its deodorants, body sprays, and personal care products marketed with a youthful, edgy image.
  • F. None of above. chosen

Provenance (5 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_69c6888120f081908f8f01b201dc4a4c completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5ef813c8190bec0ab0cbae430e5 completed March 27, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79cbc35d48190974e207eb98dcbe3 completed March 28, 2026, 9:17 a.m.
NEDg Description generation batch_69c79d31a9e8819096e6a3040b1852a9 completed March 28, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_69c79dcae54c8190b06e687236373f68 completed March 28, 2026, 9:22 a.m.
Created at: March 27, 2026, 2:43 p.m.