Triple

T10483926
Position Surface form Disambiguated ID Type / Status
Subject Allegra Stratton E247242 entity
Predicate givenName P17 FINISHED
Object Allegra
Allegra is a feminine given name of Italian origin meaning "joyful" or "lively."
 E865611 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: [Allegra Stratton, givenName, Allegra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Allegra
Context triple: [Allegra Stratton, givenName, Allegra]
  • A. 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.
  • B. 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.
  • C. Benadryl
    Benadryl is a widely used over-the-counter antihistamine medication commonly taken to relieve allergy symptoms such as sneezing, itching, and runny nose.
  • D. ebastine
    Ebastine is a second-generation, non-sedating antihistamine used primarily to treat allergic rhinitis and chronic urticaria.
  • E. Snoline
    Snoline is a Lindsay Corporation brand known for its road safety and traffic management products, such as lane markings and safety systems.
  • 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: [Allegra Stratton, givenName, Allegra]
Generated description
Allegra is a feminine given name of Italian origin meaning "joyful" or "lively."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Allegra
Target entity description: Allegra is a feminine given name of Italian origin meaning "joyful" or "lively."
  • A. 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.
  • B. 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.
  • C. Benadryl
    Benadryl is a widely used over-the-counter antihistamine medication commonly taken to relieve allergy symptoms such as sneezing, itching, and runny nose.
  • D. ebastine
    Ebastine is a second-generation, non-sedating antihistamine used primarily to treat allergic rhinitis and chronic urticaria.
  • E. Snoline
    Snoline is a Lindsay Corporation brand known for its road safety and traffic management products, such as lane markings and safety systems.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509678ac88190984f18a2162e2dcf completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8a03c647c81909521fee4a66ec8ac completed April 10, 2026, 7:01 a.m.
NEDg Description generation batch_69d8a45e5a108190ba8e6ba4af858b19 completed April 10, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_69d8a890c6b081908e57cc74f18d788b completed April 10, 2026, 7:36 a.m.
Created at: April 6, 2026, 12:22 p.m.