Triple

T7409413
Position Surface form Disambiguated ID Type / Status
Subject Grupo Omnilife E170962 entity
Predicate brand P1500 FINISHED
Object Seitu
Seitu is a personal care and cosmetics brand owned by the Mexican direct-selling company Grupo Omnilife.
 E661561 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: Seitu | Statement: [Grupo Omnilife, brand, Seitu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seitu
Context triple: [Grupo Omnilife, brand, Seitu]
  • A. Meitetsu
    Meitetsu is a major private railway company in Japan’s Chubu region, best known for operating extensive rail and transport services centered around Nagoya.
  • B. Nisshoki
    Nisshoki, more commonly known as the Hinomaru, is the national flag of Japan featuring a red sun disc centered on a white field.
  • C. Hōshō
    Hōshō was the Imperial Japanese Navy’s pioneering aircraft carrier and the world’s first purpose-built carrier to enter service.
  • D. Keihō
    Keihō is the primary criminal law code of Japan that defines offenses and their penalties.
  • E. Shichahai
    Shichahai is a historic scenic area in central Beijing known for its interconnected lakes, traditional hutong neighborhoods, and vibrant cultural and leisure activities.
  • 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: Seitu
Triple: [Grupo Omnilife, brand, Seitu]
Generated description
Seitu is a personal care and cosmetics brand owned by the Mexican direct-selling company Grupo Omnilife.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seitu
Target entity description: Seitu is a personal care and cosmetics brand owned by the Mexican direct-selling company Grupo Omnilife.
  • A. Meitetsu
    Meitetsu is a major private railway company in Japan’s Chubu region, best known for operating extensive rail and transport services centered around Nagoya.
  • B. Nisshoki
    Nisshoki, more commonly known as the Hinomaru, is the national flag of Japan featuring a red sun disc centered on a white field.
  • C. Hōshō
    Hōshō was the Imperial Japanese Navy’s pioneering aircraft carrier and the world’s first purpose-built carrier to enter service.
  • D. Keihō
    Keihō is the primary criminal law code of Japan that defines offenses and their penalties.
  • E. Shichahai
    Shichahai is a historic scenic area in central Beijing known for its interconnected lakes, traditional hutong neighborhoods, and vibrant cultural and leisure activities.
  • 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_69c68a6010108190925e5284de022660 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f29d77848190a6170eb25483224f completed March 27, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8111fcd948190adbe6280df53a916 completed March 28, 2026, 5:34 p.m.
NEDg Description generation batch_69c8128aaab08190926a782b379d364f completed March 28, 2026, 5:40 p.m.
NED2 Entity disambiguation (via description) batch_69c812df0b948190805862c5f176c956 completed March 28, 2026, 5:41 p.m.
Created at: March 27, 2026, 3:10 p.m.