Triple

T10065459
Position Surface form Disambiguated ID Type / Status
Subject Guilherme Leal E213089 entity
Predicate coFounderOf P104 FINISHED
Object Natura
Natura is a major Brazilian cosmetics and personal care company known for its sustainable practices and use of natural ingredients.
 E838876 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: Natura | Statement: [Guilherme Leal, coFounderOf, Natura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Natura
Context triple: [Guilherme Leal, coFounderOf, Natura]
  • A. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • B. Littoria
    Littoria was the original name of the Italian city now known as Latina, founded during the Fascist era in the Lazio region.
  • C. Esla
    The Esla is a major river in northwestern Spain that flows through the provinces of León and Zamora before joining the Duero.
  • D. Awá
    The Awá are an Indigenous people of the Colombia–Ecuador border region, known for their rainforest-based livelihoods and strong defense of their ancestral territories.
  • E. El Nayar
    El Nayar is a municipality in the Mexican state of Nayarit, known for its rugged Sierra Madre Occidental terrain and significant indigenous communities.
  • 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: Natura
Triple: [Guilherme Leal, coFounderOf, Natura]
Generated description
Natura is a major Brazilian cosmetics and personal care company known for its sustainable practices and use of natural ingredients.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Natura
Target entity description: Natura is a major Brazilian cosmetics and personal care company known for its sustainable practices and use of natural ingredients.
  • A. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • B. Littoria
    Littoria was the original name of the Italian city now known as Latina, founded during the Fascist era in the Lazio region.
  • C. Esla
    The Esla is a major river in northwestern Spain that flows through the provinces of León and Zamora before joining the Duero.
  • D. Awá
    The Awá are an Indigenous people of the Colombia–Ecuador border region, known for their rainforest-based livelihoods and strong defense of their ancestral territories.
  • E. El Nayar
    El Nayar is a municipality in the Mexican state of Nayarit, known for its rugged Sierra Madre Occidental terrain and significant indigenous communities.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcff51b108190b6759f651d4ba2d2 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a84c3308190ba9286053c1017dc completed April 5, 2026, 5:23 p.m.
NEDg Description generation batch_69d29b985e308190a6ec3966e02f429c completed April 5, 2026, 5:27 p.m.
NED2 Entity disambiguation (via description) batch_69d29c5f64c881909aa3d093422fe475 completed April 5, 2026, 5:31 p.m.
Created at: March 30, 2026, 8:58 p.m.