Triple

T17224047
Position Surface form Disambiguated ID Type / Status
Subject Randy Feenstra E418064 entity
Predicate familyName P18 FINISHED
Object Feenstra
Feenstra is a Dutch-origin surname borne by various notable individuals, including American politician Randy Feenstra.
 E1257820 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: Feenstra | Statement: [Randy Feenstra, familyName, Feenstra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Feenstra
Context triple: [Randy Feenstra, familyName, Feenstra]
  • A. Dornbusch
    Dornbusch is a prominent hill and lighthouse site on the Baltic Sea island of Hiddensee in Germany, known for its scenic views and coastal landscape.
  • B. Dornbusch
    Dornbusch is a residential district in Frankfurt am Main, Germany, known for its mix of urban housing, local commerce, and proximity to central city areas.
  • C. Myrdal
    Myrdal is a remote mountain railway station in Norway that serves as a key junction between the Bergen Line and the scenic Flåm Line.
  • D. Barro
    Barro is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
  • E. Antràs
    Antràs is the surname of Pol Antràs, a prominent Spanish economist known for his work in international trade and globalization.
  • 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: Feenstra
Triple: [Randy Feenstra, familyName, Feenstra]
Generated description
Feenstra is a Dutch-origin surname borne by various notable individuals, including American politician Randy Feenstra.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Feenstra
Target entity description: Feenstra is a Dutch-origin surname borne by various notable individuals, including American politician Randy Feenstra.
  • A. Dornbusch
    Dornbusch is a prominent hill and lighthouse site on the Baltic Sea island of Hiddensee in Germany, known for its scenic views and coastal landscape.
  • B. Dornbusch
    Dornbusch is a residential district in Frankfurt am Main, Germany, known for its mix of urban housing, local commerce, and proximity to central city areas.
  • C. Myrdal
    Myrdal is a remote mountain railway station in Norway that serves as a key junction between the Bergen Line and the scenic Flåm Line.
  • D. Barro
    Barro is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
  • E. Antràs
    Antràs is the surname of Pol Antràs, a prominent Spanish economist known for his work in international trade and globalization.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42ddfe3bc8190b22cee4fc0590b74 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0167596ab481909df59ce68c7f640e completed May 11, 2026, 5:21 a.m.
NEDg Description generation batch_6a0169f4d520819095774ce5ee2d2220 completed May 11, 2026, 5:32 a.m.
NED2 Entity disambiguation (via description) batch_6a016a55114881909496549dfb7b6ff1 completed May 11, 2026, 5:34 a.m.
Created at: April 10, 2026, 5:38 a.m.