Triple

T21451681
Position Surface form Disambiguated ID Type / Status
Subject Lambertville, New Jersey E529222 entity
Predicate hasMayor P185 FINISHED
Object Andrew J. Nowick
Andrew J. Nowick is an American local politician who serves as the mayor of Lambertville, New Jersey.
 E1552806 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: Andrew J. Nowick | Statement: [Lambertville, New Jersey, hasMayor, Andrew J. Nowick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Andrew J. Nowick
Context triple: [Lambertville, New Jersey, hasMayor, Andrew J. Nowick]
  • A. Andrew P. Wypych
    Andrew P. Wypych is a Polish-born Roman Catholic prelate who serves as an auxiliary bishop in the Archdiocese of Chicago.
  • B. Andrew J. Novobilski
    Andrew J. Novobilski is a computer scientist and author known for co-writing influential work on the Objective-C programming language alongside Brad Cox.
  • C. Scott D. Rychnovsky
    Scott D. Rychnovsky is an American organic chemist known for his contributions to synthetic methodology and complex molecule synthesis.
  • D. Christopher D. Lozinski
    Christopher D. Lozinski is a film editor known for his work on the animated superhero movie "Batman: The Killing Joke" (2016).
  • E. Stephen D. Mastrofski
    Stephen D. Mastrofski is an American criminologist known for his influential research on policing practices and critical evaluations of theories such as broken windows policing.
  • 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: Andrew J. Nowick
Triple: [Lambertville, New Jersey, hasMayor, Andrew J. Nowick]
Generated description
Andrew J. Nowick is an American local politician who serves as the mayor of Lambertville, New Jersey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Andrew J. Nowick
Target entity description: Andrew J. Nowick is an American local politician who serves as the mayor of Lambertville, New Jersey.
  • A. Andrew P. Wypych
    Andrew P. Wypych is a Polish-born Roman Catholic prelate who serves as an auxiliary bishop in the Archdiocese of Chicago.
  • B. Andrew J. Novobilski
    Andrew J. Novobilski is a computer scientist and author known for co-writing influential work on the Objective-C programming language alongside Brad Cox.
  • C. Scott D. Rychnovsky
    Scott D. Rychnovsky is an American organic chemist known for his contributions to synthetic methodology and complex molecule synthesis.
  • D. Christopher D. Lozinski
    Christopher D. Lozinski is a film editor known for his work on the animated superhero movie "Batman: The Killing Joke" (2016).
  • E. Stephen D. Mastrofski
    Stephen D. Mastrofski is an American criminologist known for his influential research on policing practices and critical evaluations of theories such as broken windows policing.
  • 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d33e648190864b0ef5acf36659 completed April 23, 2026, 9:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b97fc2600819085486a9d540c9df3 completed May 18, 2026, 10:51 p.m.
NEDg Description generation batch_6a0b9884cb548190958d16f42be4bea8 completed May 18, 2026, 10:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0b98e7887881909ec9cc4a2a2167c5 completed May 18, 2026, 10:55 p.m.
Created at: April 16, 2026, 6:07 p.m.