Triple

T34488980
Position Surface form Disambiguated ID Type / Status
Subject The Dubrow Diet E885413 entity
Predicate emphasizesMacronutrient P3602 FINISHED
Object protein LITERAL FINISHED

How this triple was built (2 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: protein | Statement: [The Dubrow Diet, emphasizesMacronutrient, protein]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: emphasizesMacronutrient
Context triple: [The Dubrow Diet, emphasizesMacronutrient, protein]
  • A. focusesOnNutrition
    Indicates that the subject’s primary attention, activity, or content is centered on nutrition-related topics, practices, or goals.
  • B. nutritionType chosen
    Indicates the specific category or kind of nutritional characteristic or value associated with an entity.
  • C. regulatesNutrient
    Indicates a relationship where one entity controls, modulates, or maintains the levels, availability, or flow of a nutrient in another entity or system.
  • D. nutritionComponent
    Indicates that one entity is a nutritional constituent, ingredient, or component of another (typically a food, diet, or nutritional product).
  • E. nutritionMode
    Indicates the way an entity obtains or processes nutrients for sustenance or growth.
  • F. None of above.

Provenance (3 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_69f349cafcec8190997b45b3fdc16c27 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71fb1ab3881908e2f7c0e6f23db49 completed May 3, 2026, 10:13 a.m.
PD Predicate disambiguation batch_69f71cc6397881909aaad37a9daa8a7e completed May 3, 2026, 10 a.m.
Created at: May 1, 2026, 2:01 a.m.