Triple

T2403672
Position Surface form Disambiguated ID Type / Status
Subject Kenvue E50225 entity
Predicate ownsBrand P1500 FINISHED
Object Motrin
Motrin is a widely used over-the-counter ibuprofen pain reliever and fever reducer medication.
 E262873 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: Motrin | Statement: [Kenvue, ownsBrand, Motrin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Motrin
Context triple: [Kenvue, ownsBrand, Motrin]
  • A. Tylenol
    Tylenol is a widely used over-the-counter pain reliever and fever reducer whose active ingredient is acetaminophen (paracetamol).
  • B. Actopan
    Actopan is a municipality and town in the central Mexican state of Hidalgo, known for its colonial architecture, agricultural production, and regional cuisine.
  • C. Anpezan
    Anpezan is a regional dialect of the Ladin language spoken in parts of the Dolomite area of northern Italy.
  • D. Lamotrek
    Lamotrek is a small atoll in the Federated States of Micronesia known for its traditional seafaring culture and navigational expertise.
  • E. Versonnex
    Versonnex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • 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: Motrin
Triple: [Kenvue, ownsBrand, Motrin]
Generated description
Motrin is a widely used over-the-counter ibuprofen pain reliever and fever reducer medication.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Motrin
Target entity description: Motrin is a widely used over-the-counter ibuprofen pain reliever and fever reducer medication.
  • A. Tylenol
    Tylenol is a widely used over-the-counter pain reliever and fever reducer whose active ingredient is acetaminophen (paracetamol).
  • B. Actopan
    Actopan is a municipality and town in the central Mexican state of Hidalgo, known for its colonial architecture, agricultural production, and regional cuisine.
  • C. Anpezan
    Anpezan is a regional dialect of the Ladin language spoken in parts of the Dolomite area of northern Italy.
  • D. Lamotrek
    Lamotrek is a small atoll in the Federated States of Micronesia known for its traditional seafaring culture and navigational expertise.
  • E. Versonnex
    Versonnex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • 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_69aeb3e740c88190872aa1a7834d73b0 completed March 9, 2026, 11:49 a.m.
NEDg Description generation batch_69aeb4b942b08190addc2885fbda0e41 completed March 9, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_69aeb557247c8190920ce3a5db388800 completed March 9, 2026, 11:56 a.m.
Created at: March 4, 2026, 7:58 p.m.