Triple

T5607411
Position Surface form Disambiguated ID Type / Status
Subject Nestlé Health Science E147266 entity
Predicate hasBrand P1500 FINISHED
Object Vitaflo
Vitaflo is a specialized nutrition brand focused on medical foods and dietary products for people with rare metabolic disorders and other complex health conditions.
 E527919 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: Vitaflo | Statement: [Nestlé Health Science, hasBrand, Vitaflo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vitaflo
Context triple: [Nestlé Health Science, hasBrand, Vitaflo]
  • A. Avenol
    Avenol is a French surname most notably borne by Joseph Avenol, a former Secretary-General of the League of Nations.
  • B. Vitarte
    Vitarte is a district of Lima, Peru, known for its industrial activity and dense urban population.
  • C. Opekta
    Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
  • D. Brinkman
    Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • E. Pectacon
    Pectacon was the spice and pectin trading company in Amsterdam co-founded and managed by Otto Frank before and during the early years of World War II.
  • 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: Vitaflo
Triple: [Nestlé Health Science, hasBrand, Vitaflo]
Generated description
Vitaflo is a specialized nutrition brand focused on medical foods and dietary products for people with rare metabolic disorders and other complex health conditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vitaflo
Target entity description: Vitaflo is a specialized nutrition brand focused on medical foods and dietary products for people with rare metabolic disorders and other complex health conditions.
  • A. Avenol
    Avenol is a French surname most notably borne by Joseph Avenol, a former Secretary-General of the League of Nations.
  • B. Vitarte
    Vitarte is a district of Lima, Peru, known for its industrial activity and dense urban population.
  • C. Opekta
    Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
  • D. Brinkman
    Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • E. Pectacon
    Pectacon was the spice and pectin trading company in Amsterdam co-founded and managed by Otto Frank before and during the early years of World War II.
  • 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_69c0090500f881908374285baf0ac46f completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020fd1b2c81908da154f7e11b90d8 completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02878aad8819082d2c8f038b79bc7 completed March 22, 2026, 5:35 p.m.
NEDg Description generation batch_69c033e0043881908c9fca5138398188 completed March 22, 2026, 6:24 p.m.
NED2 Entity disambiguation (via description) batch_69c034664c808190b382f7aad0e3149a completed March 22, 2026, 6:26 p.m.
Created at: March 22, 2026, 3:39 p.m.