Triple

T9306005
Position Surface form Disambiguated ID Type / Status
Subject Blistex E223885 entity
Predicate hasSubsidiaryBrand P25079 FINISHED
Object Ivarest
Ivarest is an over-the-counter topical medication brand known for relieving itching and irritation from poison ivy, oak, sumac, and other minor skin irritations.
 E790422 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: Ivarest | Statement: [Blistex, hasSubsidiaryBrand, Ivarest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ivarest
Context triple: [Blistex, hasSubsidiaryBrand, Ivarest]
  • A. Vianen
    Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
  • B. Idvies
    Idvies is a small rural village located within the Angus council area in eastern Scotland.
  • C. Iviatim
    Iviatim is an alternative name for the Cahuilla language, a Uto-Aztecan language traditionally spoken by the Cahuilla people of Southern California.
  • D. Viparis
    Viparis is a major French company that manages and operates leading convention and exhibition centers in the Paris region.
  • E. Cēsis
    Cēsis is a historic town in northern Latvia known for its medieval castle, well-preserved old town, and role in Latvian cultural and national history.
  • 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: Ivarest
Triple: [Blistex, hasSubsidiaryBrand, Ivarest]
Generated description
Ivarest is an over-the-counter topical medication brand known for relieving itching and irritation from poison ivy, oak, sumac, and other minor skin irritations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ivarest
Target entity description: Ivarest is an over-the-counter topical medication brand known for relieving itching and irritation from poison ivy, oak, sumac, and other minor skin irritations.
  • A. Vianen
    Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
  • B. Idvies
    Idvies is a small rural village located within the Angus council area in eastern Scotland.
  • C. Iviatim
    Iviatim is an alternative name for the Cahuilla language, a Uto-Aztecan language traditionally spoken by the Cahuilla people of Southern California.
  • D. Viparis
    Viparis is a major French company that manages and operates leading convention and exhibition centers in the Paris region.
  • E. Cēsis
    Cēsis is a historic town in northern Latvia known for its medieval castle, well-preserved old town, and role in Latvian cultural and national history.
  • 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_69ca8424d0f08190831e2e93c6533aeb completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd1da7c1e08190af19169f5d806cde completed April 1, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0b2735d788190bd8f963562fb85a8 completed April 4, 2026, 6:40 a.m.
NEDg Description generation batch_69d0b4231b708190b8a4a342bc63e84d completed April 4, 2026, 6:48 a.m.
NED2 Entity disambiguation (via description) batch_69d0b4b8131c8190b2aa8be56925b7bc completed April 4, 2026, 6:50 a.m.
Created at: March 30, 2026, 7:36 p.m.