Triple

T16822237
Position Surface form Disambiguated ID Type / Status
Subject Enfamil E408920 entity
Predicate hasVariant P455 FINISHED
Object Enfagrow
Enfagrow is a line of toddler and young child nutritional milk drinks designed to support growth and brain development as children transition from infant formula or breast milk.
 E408920 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: Enfagrow | Statement: [Enfamil, hasVariant, Enfagrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Enfagrow
Context triple: [Enfamil, hasVariant, Enfagrow]
  • A. Nutricia
    Nutricia is a Danone-owned brand specializing in medical and early life nutrition products.
  • B. Playtex
    Playtex is a well-known American brand specializing in bras, shapewear, and other intimate apparel products.
  • C. Nutren
    Nutren is a Nestlé Health Science nutritional supplement brand offering specialized formulas for medical and dietary needs.
  • D. Enfamil
    Enfamil is a widely used brand of infant formula designed to provide balanced nutrition for babies and young children.
  • E. Aptamil
    Aptamil is a popular infant and toddler formula brand known for its nutritionally tailored milk products for early childhood.
  • 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: Enfagrow
Triple: [Enfamil, hasVariant, Enfagrow]
Generated description
Enfagrow is a line of toddler and young child nutritional milk drinks designed to support growth and brain development as children transition from infant formula or breast milk.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Enfagrow
Target entity description: Enfagrow is a line of toddler and young child nutritional milk drinks designed to support growth and brain development as children transition from infant formula or breast milk.
  • A. Nutricia
    Nutricia is a Danone-owned brand specializing in medical and early life nutrition products.
  • B. Playtex
    Playtex is a well-known American brand specializing in bras, shapewear, and other intimate apparel products.
  • C. Nutren
    Nutren is a Nestlé Health Science nutritional supplement brand offering specialized formulas for medical and dietary needs.
  • D. Enfamil chosen
    Enfamil is a widely used brand of infant formula designed to provide balanced nutrition for babies and young children.
  • E. Aptamil
    Aptamil is a popular infant and toddler formula brand known for its nutritionally tailored milk products for early childhood.
  • F. None of above.

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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e77ab88190be1ec8179251864e completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b29a3854819099eed580eea5d84d completed May 10, 2026, 4:30 p.m.
NEDg Description generation batch_6a00b32d2a588190b59bad56f8817bce completed May 10, 2026, 4:32 p.m.
NED2 Entity disambiguation (via description) batch_6a00b3d14b3c819081f435777f47eca3 completed May 10, 2026, 4:35 p.m.
Created at: April 10, 2026, 5:23 a.m.