Triple

T252099
Position Surface form Disambiguated ID Type / Status
Subject Naomi Klein E5170 entity
Predicate familyName P18 FINISHED
Object Klein
Klein is a common German and Ashkenazi Jewish surname borne by many notable figures across politics, arts, science, and business.
E32247 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: Klein | Statement: [Naomi Klein, familyName, Klein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Klein
Context triple: [Naomi Klein, familyName, Klein]
  • A. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • B. Stanley
    Stanley is an autonomous robotic vehicle developed by Stanford University that gained fame for winning the 2005 DARPA Grand Challenge, a landmark event in self-driving car research.
  • C. Rappen
    Rappen is the German term for the centime-like subunit of the Swiss franc, used to denote its smaller denominations.
  • D. Elliott
    Elliott is a masculine given name of English origin, often used as both a first name and a surname.
  • E. Kato
    Kato is the nickname of Kato Svanidze, who was the first wife of Soviet leader Joseph Stalin.
  • 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: Klein
Triple: [Naomi Klein, familyName, Klein]
Generated description
Klein is a common German and Ashkenazi Jewish surname borne by many notable figures across politics, arts, science, and business.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Klein
Target entity description: Klein is a common German and Ashkenazi Jewish surname borne by many notable figures across politics, arts, science, and business.
  • A. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • B. Stanley
    Stanley is an autonomous robotic vehicle developed by Stanford University that gained fame for winning the 2005 DARPA Grand Challenge, a landmark event in self-driving car research.
  • C. Rappen
    Rappen is the German term for the centime-like subunit of the Swiss franc, used to denote its smaller denominations.
  • D. Elliott
    Elliott is a masculine given name of English origin, often used as both a first name and a surname.
  • E. Kato
    Kato is the nickname of Kato Svanidze, who was the first wife of Soviet leader Joseph Stalin.
  • 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_69a257c4bf688190a46ebbf411ab7473 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25d39eb3881909f435043c8697f13 completed Feb. 28, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a37374e97c819090a8921d5c27d1ab completed Feb. 28, 2026, 11 p.m.
NEDg Description generation batch_69a37424ca448190aeb43c7922fbd1dd completed Feb. 28, 2026, 11:03 p.m.
NED2 Entity disambiguation (via description) batch_69a3747b0bf481908b197614d9f2d04c completed Feb. 28, 2026, 11:04 p.m.
Created at: Feb. 28, 2026, 2:54 a.m.