Triple

T2753637
Position Surface form Disambiguated ID Type / Status
Subject Snyder E61047 entity
Predicate hasVariant P455 FINISHED
Object Schneider
Schneider is a German-origin surname commonly borne by people of German-speaking or Central European descent.
E295419 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: Schneider | Statement: [Snyder, hasVariant, Schneider]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schneider
Context triple: [Snyder, hasVariant, Schneider]
  • A. Brinkman
    Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • B. Legrand
    Legrand is a French multinational company specializing in electrical and digital building infrastructure solutions, including switches, sockets, and cable management systems.
  • C. Dellner
    Dellner is a company specializing in railway coupling and connection systems used on modern passenger and freight trains worldwide.
  • D. Crompton
    Crompton is an English surname most notably associated with Samuel Crompton, the inventor of the spinning mule that revolutionized textile manufacturing during the Industrial Revolution.
  • E. Schueller
    Schueller is a French surname most notably associated with Eugène Schueller, the chemist and entrepreneur who founded the cosmetics company L’Oréal.
  • 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: Schneider
Triple: [Snyder, hasVariant, Schneider]
Generated description
Schneider is a German-origin surname commonly borne by people of German-speaking or Central European descent.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Schneider
Target entity description: Schneider is a German-origin surname commonly borne by people of German-speaking or Central European descent.
  • A. Brinkman
    Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • B. Legrand
    Legrand is a French multinational company specializing in electrical and digital building infrastructure solutions, including switches, sockets, and cable management systems.
  • C. Dellner
    Dellner is a company specializing in railway coupling and connection systems used on modern passenger and freight trains worldwide.
  • D. Crompton
    Crompton is an English surname most notably associated with Samuel Crompton, the inventor of the spinning mule that revolutionized textile manufacturing during the Industrial Revolution.
  • E. Schueller
    Schueller is a French surname most notably associated with Eugène Schueller, the chemist and entrepreneur who founded the cosmetics company L’Oréal.
  • 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_69ab4b7a85bc819094a349b84beb1f2c completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb6ed9c08190824d1866e198ef80 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbdb43d481909bf4e61840979c0a completed March 10, 2026, 6:36 a.m.
NEDg Description generation batch_69afbc758cc48190a96f80a850316ce3 completed March 10, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_69afbd7be9088190a19bed27249e95c4 completed March 10, 2026, 6:43 a.m.
Created at: March 6, 2026, 9:56 p.m.