Triple

T6007587
Position Surface form Disambiguated ID Type / Status
Subject Sophie Scholl E133750 entity
Predicate familyName P18 FINISHED
Object Scholl
Scholl is the surname of Sophie Scholl, the German student and anti-Nazi resistance member known for her role in the White Rose movement during World War II.
 E561844 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: Scholl | Statement: [Sophie Scholl, familyName, Scholl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Scholl
Context triple: [Sophie Scholl, familyName, Scholl]
  • A. Lifebuoy
    Lifebuoy is a long-established global soap and hygiene brand known for its antibacterial products and health-focused marketing.
  • B. Garnier
    Garnier is a French surname most famously associated with architect Charles Garnier, designer of the Paris Opéra.
  • C. Suavitel
    Suavitel is a popular fabric softener brand known for its long-lasting fragrances and softening properties, marketed primarily in Latin American and U.S. Hispanic households.
  • D. Neutrogena
    Neutrogena is a widely recognized skincare and cosmetics brand known for its dermatologist-recommended products, including facial cleansers, moisturizers, sunscreens, and acne treatments.
  • E. Brillo
    Brillo is a lightweight, Android-based operating system developed by Google for powering and managing Internet of Things (IoT) devices.
  • 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: Scholl
Triple: [Sophie Scholl, familyName, Scholl]
Generated description
Scholl is the surname of Sophie Scholl, the German student and anti-Nazi resistance member known for her role in the White Rose movement during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Scholl
Target entity description: Scholl is the surname of Sophie Scholl, the German student and anti-Nazi resistance member known for her role in the White Rose movement during World War II.
  • A. Lifebuoy
    Lifebuoy is a long-established global soap and hygiene brand known for its antibacterial products and health-focused marketing.
  • B. Garnier
    Garnier is a French surname most famously associated with architect Charles Garnier, designer of the Paris Opéra.
  • C. Suavitel
    Suavitel is a popular fabric softener brand known for its long-lasting fragrances and softening properties, marketed primarily in Latin American and U.S. Hispanic households.
  • D. Neutrogena
    Neutrogena is a widely recognized skincare and cosmetics brand known for its dermatologist-recommended products, including facial cleansers, moisturizers, sunscreens, and acne treatments.
  • E. Brillo
    Brillo is a lightweight, Android-based operating system developed by Google for powering and managing Internet of Things (IoT) devices.
  • 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_69c00872444c8190bfaf1739dcec765c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f13d9908190a11d9bef8652db93 completed March 22, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c10895559081908b9efdd32ecef37f completed March 23, 2026, 9:32 a.m.
NEDg Description generation batch_69c10b7467e88190955014bc060b20e4 completed March 23, 2026, 9:44 a.m.
NED2 Entity disambiguation (via description) batch_69c10c0a001c81908e3ca53e9491ff9a completed March 23, 2026, 9:46 a.m.
Created at: March 22, 2026, 4:06 p.m.