Triple

T22311859
Position Surface form Disambiguated ID Type / Status
Subject Wilmington E551534 entity
Predicate hasMayor P185 FINISHED
Object Mike Purzycki
Mike Purzycki is an American politician who serves as the mayor of Wilmington, Delaware.
E1546016 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: Mike Purzycki | Statement: [Wilmington, hasMayor, Mike Purzycki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Purzycki
Context triple: [Wilmington, hasMayor, Mike Purzycki]
  • A. Mike Palazzolo
    Mike Palazzolo is an American local politician who serves as the mayor of Germantown, Tennessee.
  • B. Michael Marczak
    Michael Marczak is a Polish filmmaker and music video director known for his visually distinctive, documentary-influenced style in both narrative and commercial projects.
  • C. Mike Dimkich
    Mike Dimkich is an American guitarist best known for his work with punk rock bands, including his role as a touring guitarist for Bad Religion and later as a member of The Offspring.
  • D. Mike Morasky
    Mike Morasky is an American composer and sound designer best known for creating the distinctive electronic and atmospheric scores for Valve video games such as Portal 2, Team Fortress 2, and Left 4 Dead.
  • E. Matt Keeslar
    Matt Keeslar is an American actor known for his work in film and television, including prominent roles in science fiction and fantasy adaptations.
  • 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: Mike Purzycki
Triple: [Wilmington, hasMayor, Mike Purzycki]
Generated description
Mike Purzycki is an American politician who serves as the mayor of Wilmington, Delaware.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mike Purzycki
Target entity description: Mike Purzycki is an American politician who serves as the mayor of Wilmington, Delaware.
  • A. Mike Palazzolo
    Mike Palazzolo is an American local politician who serves as the mayor of Germantown, Tennessee.
  • B. Michael Marczak
    Michael Marczak is a Polish filmmaker and music video director known for his visually distinctive, documentary-influenced style in both narrative and commercial projects.
  • C. Mike Dimkich
    Mike Dimkich is an American guitarist best known for his work with punk rock bands, including his role as a touring guitarist for Bad Religion and later as a member of The Offspring.
  • D. Mike Morasky
    Mike Morasky is an American composer and sound designer best known for creating the distinctive electronic and atmospheric scores for Valve video games such as Portal 2, Team Fortress 2, and Left 4 Dead.
  • E. Matt Keeslar
    Matt Keeslar is an American actor known for his work in film and television, including prominent roles in science fiction and fantasy adaptations.
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1574f97cc81909685aeef15d02af9 completed April 29, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b4de54f348190812bbe2364888a8d completed May 18, 2026, 5:35 p.m.
NEDg Description generation batch_6a0b4ea10a448190a7a27e5877f09eb0 completed May 18, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_6a0b4f39aa288190ac8e5c885cebf06b completed May 18, 2026, 5:41 p.m.
Created at: April 16, 2026, 8:42 p.m.