Triple

T10756009
Position Surface form Disambiguated ID Type / Status
Subject Cook County, Minnesota E253696 entity
Predicate namedAfter P63 FINISHED
Object Michael Cook
Michael Cook was a 19th-century American politician and public figure in Minnesota after whom Cook County was named.
E884496 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: Michael Cook | Statement: [Cook County, Minnesota, namedAfter, Michael Cook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Cook
Context triple: [Cook County, Minnesota, namedAfter, Michael Cook]
  • A. Quentin Leo Cook
    Quentin Leo Cook is the English DJ, musician, and record producer better known by his stage name Fatboy Slim.
  • B. Martin Lisemore
    Martin Lisemore was a British television producer best known for his acclaimed work on high-profile BBC drama series in the 1970s.
  • C. Peter S. Elliot
    Peter S. Elliot is a film editor known for his work on feature films, including the ensemble romantic comedy "Think Like a Man."
  • D. Colin Gordon
    Colin Gordon was a British character actor known for his numerous film and television roles in the mid-20th century, often portraying officious or bureaucratic figures.
  • E. Damien P. George
    Damien P. George is a British physicist and software engineer best known for creating MicroPython, a lean implementation of Python for microcontrollers and embedded systems.
  • 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: Michael Cook
Triple: [Cook County, Minnesota, namedAfter, Michael Cook]
Generated description
Michael Cook was a 19th-century American politician and public figure in Minnesota after whom Cook County was named.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michael Cook
Target entity description: Michael Cook was a 19th-century American politician and public figure in Minnesota after whom Cook County was named.
  • A. Quentin Leo Cook
    Quentin Leo Cook is the English DJ, musician, and record producer better known by his stage name Fatboy Slim.
  • B. Martin Lisemore
    Martin Lisemore was a British television producer best known for his acclaimed work on high-profile BBC drama series in the 1970s.
  • C. Peter S. Elliot
    Peter S. Elliot is a film editor known for his work on feature films, including the ensemble romantic comedy "Think Like a Man."
  • D. Colin Gordon
    Colin Gordon was a British character actor known for his numerous film and television roles in the mid-20th century, often portraying officious or bureaucratic figures.
  • E. Damien P. George
    Damien P. George is a British physicist and software engineer best known for creating MicroPython, a lean implementation of Python for microcontrollers and embedded systems.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d72e9e224c819099d16aba77322812 completed April 9, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69de2338b2cc8190ad40ff9a421a4152 completed April 14, 2026, 11:21 a.m.
NEDg Description generation batch_69de271ee56c81908d2f690f31c2d2db completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2dff4a048190823c8b5f1f7ea548 completed April 14, 2026, 12:07 p.m.
Created at: April 8, 2026, 9:15 p.m.