Triple

T2403674
Position Surface form Disambiguated ID Type / Status
Subject Kenvue E50225 entity
Predicate ownsBrand P1500 FINISHED
Object Benadryl
Benadryl is a widely used over-the-counter antihistamine medication commonly taken to relieve allergy symptoms such as sneezing, itching, and runny nose.
 E266394 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: Benadryl | Statement: [Kenvue, ownsBrand, Benadryl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Benadryl
Context triple: [Kenvue, ownsBrand, Benadryl]
  • 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. Tylenol
    Tylenol is a widely used over-the-counter pain reliever and fever reducer whose active ingredient is acetaminophen (paracetamol).
  • C. Motrin
    Motrin is a widely used over-the-counter ibuprofen pain reliever and fever reducer medication.
  • D. Actopan
    Actopan is a municipality and town in the central Mexican state of Hidalgo, known for its colonial architecture, agricultural production, and regional cuisine.
  • 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: Benadryl
Triple: [Kenvue, ownsBrand, Benadryl]
Generated description
Benadryl is a widely used over-the-counter antihistamine medication commonly taken to relieve allergy symptoms such as sneezing, itching, and runny nose.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Benadryl
Target entity description: Benadryl is a widely used over-the-counter antihistamine medication commonly taken to relieve allergy symptoms such as sneezing, itching, and runny nose.
  • 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. Tylenol
    Tylenol is a widely used over-the-counter pain reliever and fever reducer whose active ingredient is acetaminophen (paracetamol).
  • C. Motrin
    Motrin is a widely used over-the-counter ibuprofen pain reliever and fever reducer medication.
  • D. Actopan
    Actopan is a municipality and town in the central Mexican state of Hidalgo, known for its colonial architecture, agricultural production, and regional cuisine.
  • 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_69a88b0339a88190a1207333cd271cc9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc8f8aa2881909192920ee394f0b3 completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf403f74819082dc50e31f29b171 completed March 9, 2026, 12:38 p.m.
NEDg Description generation batch_69aec4529bf08190a75be15fb4aa144d completed March 9, 2026, 1 p.m.
NED2 Entity disambiguation (via description) batch_69aec4edb8d88190a591a80d47dc5797 completed March 9, 2026, 1:02 p.m.
Created at: March 4, 2026, 7:58 p.m.