Triple

T17567623
Position Surface form Disambiguated ID Type / Status
Subject Michael Nutter E427856 entity
Predicate familyName P18 FINISHED
Object Nutter
Nutter is a surname most notably associated with Michael Nutter, the former mayor of Philadelphia.
E1274863 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: Nutter | Statement: [Michael Nutter, familyName, Nutter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nutter
Context triple: [Michael Nutter, familyName, Nutter]
  • A. Nutter
    Nutter is a small village in the Dutch province of Overijssel, known for its rural landscape and traditional countryside character.
  • B. Nutt
    Nutt is a surname most notably associated with David Nutt, a British neuropsychopharmacologist known for his research on the effects of drugs on the brain and for advising on drug policy.
  • C. Dunnigan
    Dunnigan is a small unincorporated community in Yolo County, California, known primarily as a rural agricultural area along Interstate 5.
  • D. Filbert
    Filbert is the anthropomorphic fox mascot of the Leicester City Football Club, commonly seen entertaining fans at the team’s matches and events.
  • E. Henny
    Henny is a diminutive or short form of the Dutch given name Hendrika, commonly used as a familiar or informal version of the name.
  • 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: Nutter
Triple: [Michael Nutter, familyName, Nutter]
Generated description
Nutter is a surname most notably associated with Michael Nutter, the former mayor of Philadelphia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nutter
Target entity description: Nutter is a surname most notably associated with Michael Nutter, the former mayor of Philadelphia.
  • A. Nutter
    Nutter is a small village in the Dutch province of Overijssel, known for its rural landscape and traditional countryside character.
  • B. Nutt
    Nutt is a surname most notably associated with David Nutt, a British neuropsychopharmacologist known for his research on the effects of drugs on the brain and for advising on drug policy.
  • C. Dunnigan
    Dunnigan is a small unincorporated community in Yolo County, California, known primarily as a rural agricultural area along Interstate 5.
  • D. Filbert
    Filbert is the anthropomorphic fox mascot of the Leicester City Football Club, commonly seen entertaining fans at the team’s matches and events.
  • E. Henny
    Henny is a diminutive or short form of the Dutch given name Hendrika, commonly used as a familiar or informal version of the name.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592e56e481909249b831cecc31d5 completed April 19, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01d29af2e08190bcc3efd0ac3e3b08 completed May 11, 2026, 12:59 p.m.
NEDg Description generation batch_6a01d38cff78819099702b41d8285e95 completed May 11, 2026, 1:03 p.m.
NED2 Entity disambiguation (via description) batch_6a01d425f9748190b64a0a01fd1a20d0 completed May 11, 2026, 1:05 p.m.
Created at: April 10, 2026, 5:50 a.m.