Triple

T2190499
Position Surface form Disambiguated ID Type / Status
Subject Neutrogena E49849 entity
Predicate formerName P65 FINISHED
Object Natone
Natone was the original company name of Neutrogena, a well-known American skincare and cosmetics brand.
 E242404 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: Natone | Statement: [Neutrogena, formerName, Natone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Natone
Context triple: [Neutrogena, formerName, Natone]
  • A. Numata
    Numata is a city in Gunma Prefecture, Japan, known as a gateway to the Mount Akagi and Oze National Park areas.
  • B. Navotas
    Navotas is a coastal city in the Philippines known as part of Metro Manila’s fishing and fishport hub.
  • C. Nisenan
    The Nisenan are an Indigenous people of Northern California, traditionally inhabiting the Sierra Nevada foothills and Sacramento Valley, with a distinct Maidu language and culture.
  • D. Owaneco
    Owaneco was a prominent Mohegan sachem (chief) known for his leadership and land dealings in colonial New England during the late 17th and early 18th centuries.
  • E. Southesk
    Southesk is the traditional war cry associated with Clan Carnegie, a Scottish noble family from Angus.
  • 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: Natone
Triple: [Neutrogena, formerName, Natone]
Generated description
Natone was the original company name of Neutrogena, a well-known American skincare and cosmetics brand.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Natone
Target entity description: Natone was the original company name of Neutrogena, a well-known American skincare and cosmetics brand.
  • A. Numata
    Numata is a city in Gunma Prefecture, Japan, known as a gateway to the Mount Akagi and Oze National Park areas.
  • B. Navotas
    Navotas is a coastal city in the Philippines known as part of Metro Manila’s fishing and fishport hub.
  • C. Nisenan
    The Nisenan are an Indigenous people of Northern California, traditionally inhabiting the Sierra Nevada foothills and Sacramento Valley, with a distinct Maidu language and culture.
  • D. Owaneco
    Owaneco was a prominent Mohegan sachem (chief) known for his leadership and land dealings in colonial New England during the late 17th and early 18th centuries.
  • E. Southesk
    Southesk is the traditional war cry associated with Clan Carnegie, a Scottish noble family from Angus.
  • 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_69a88aaba3c48190b351cab9b26989ff completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf3f5e008190beda3ce5d77209e0 completed March 7, 2026, 6:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5db0352c8190aa9c4c58460df3a4 completed March 9, 2026, 5:42 a.m.
NEDg Description generation batch_69ae5e5fe37c8190bcf73200d32f5faa completed March 9, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69ae5ed1e3208190b46d5e8361c2a5f6 completed March 9, 2026, 5:46 a.m.
Created at: March 4, 2026, 7:46 p.m.