Triple

T6006204
Position Surface form Disambiguated ID Type / Status
Subject Sanofi E133715 entity
Predicate hasBrand P1500 FINISHED
Object Allegra
Allegra is a widely used over-the-counter antihistamine medication for relieving allergy symptoms such as sneezing, runny nose, and itchy or watery eyes.
E561779 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: Allegra | Statement: [Sanofi, hasBrand, Allegra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allegra
Context triple: [Sanofi, hasBrand, Allegra]
  • A. Zyrtec
    Zyrtec is a widely used over-the-counter antihistamine medication primarily taken to relieve allergy symptoms such as sneezing, runny nose, and itchy or watery eyes.
  • B. Benadryl
    Benadryl is a widely used over-the-counter antihistamine medication commonly taken to relieve allergy symptoms such as sneezing, itching, and runny nose.
  • C. Snoline
    Snoline is a Lindsay Corporation brand known for its road safety and traffic management products, such as lane markings and safety systems.
  • D. Xolair
    Xolair is a monoclonal antibody medication used to treat moderate to severe allergic asthma and chronic spontaneous urticaria by targeting immunoglobulin E (IgE).
  • E. Anpezan
    Anpezan is a regional dialect of the Ladin language spoken in parts of the Dolomite area of northern Italy.
  • 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: Allegra
Triple: [Sanofi, hasBrand, Allegra]
Generated description
Allegra is a widely used over-the-counter antihistamine medication for relieving allergy symptoms such as sneezing, runny nose, and itchy or watery eyes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Allegra
Target entity description: Allegra is a widely used over-the-counter antihistamine medication for relieving allergy symptoms such as sneezing, runny nose, and itchy or watery eyes.
  • A. Zyrtec
    Zyrtec is a widely used over-the-counter antihistamine medication primarily taken to relieve allergy symptoms such as sneezing, runny nose, and itchy or watery eyes.
  • B. Benadryl
    Benadryl is a widely used over-the-counter antihistamine medication commonly taken to relieve allergy symptoms such as sneezing, itching, and runny nose.
  • C. Snoline
    Snoline is a Lindsay Corporation brand known for its road safety and traffic management products, such as lane markings and safety systems.
  • D. Xolair
    Xolair is a monoclonal antibody medication used to treat moderate to severe allergic asthma and chronic spontaneous urticaria by targeting immunoglobulin E (IgE).
  • E. Anpezan
    Anpezan is a regional dialect of the Ladin language spoken in parts of the Dolomite area of northern Italy.
  • 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_69c00872444c8190bfaf1739dcec765c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f128354819088971ee398cbda77 completed March 22, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c10895559081908b9efdd32ecef37f completed March 23, 2026, 9:32 a.m.
NEDg Description generation batch_69c10b7467e88190955014bc060b20e4 completed March 23, 2026, 9:44 a.m.
NED2 Entity disambiguation (via description) batch_69c10c0a001c81908e3ca53e9491ff9a completed March 23, 2026, 9:46 a.m.
Created at: March 22, 2026, 4:06 p.m.