Triple

T6738340
Position Surface form Disambiguated ID Type / Status
Subject East Orange, New Jersey E154013 entity
Predicate mayor P185 FINISHED
Object Ted R. Green
Ted R. Green is an American politician who serves as the mayor of East Orange, New Jersey, focusing on community development and public safety initiatives.
 E615049 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: Ted R. Green | Statement: [East Orange, New Jersey, mayor, Ted R. Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ted R. Green
Context triple: [East Orange, New Jersey, mayor, Ted R. Green]
  • A. Matt Roberts
    Matt Roberts was an American guitarist best known as a founding member of the rock band 3 Doors Down.
  • B. Rob Mullens
    Rob Mullens is a college athletics administrator best known for serving as the athletic director at the University of Oregon.
  • C. Jim Tunney
    Jim Tunney is a former NFL official renowned as one of the league’s most respected referees, often called the “Dean of NFL Referees.”
  • D. Willie Green
    Willie Green is an American former NBA guard and current professional basketball coach known for leading the New Orleans Pelicans.
  • E. Cal McVey
    Cal McVey was a 19th-century American baseball player and one of the sport’s earliest professional stars, known for his versatility in the infield and outfield.
  • 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: Ted R. Green
Triple: [East Orange, New Jersey, mayor, Ted R. Green]
Generated description
Ted R. Green is an American politician who serves as the mayor of East Orange, New Jersey, focusing on community development and public safety initiatives.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ted R. Green
Target entity description: Ted R. Green is an American politician who serves as the mayor of East Orange, New Jersey, focusing on community development and public safety initiatives.
  • A. Matt Roberts
    Matt Roberts was an American guitarist best known as a founding member of the rock band 3 Doors Down.
  • B. Rob Mullens
    Rob Mullens is a college athletics administrator best known for serving as the athletic director at the University of Oregon.
  • C. Jim Tunney
    Jim Tunney is a former NFL official renowned as one of the league’s most respected referees, often called the “Dean of NFL Referees.”
  • D. Willie Green
    Willie Green is an American former NBA guard and current professional basketball coach known for leading the New Orleans Pelicans.
  • E. Cal McVey
    Cal McVey was a 19th-century American baseball player and one of the sport’s earliest professional stars, known for his versatility in the infield and outfield.
  • 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_69c6880d84d8819095d19de2295f26ac completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1866dbc81909483fbd5ed6a3ec8 completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b0b97248190bf6bac160fe3d45b completed March 27, 2026, 10:56 p.m.
NEDg Description generation batch_69c70bb0714c819094e80a2dfc960c99 completed March 27, 2026, 10:58 p.m.
NED2 Entity disambiguation (via description) batch_69c70c51e0148190be64afb56690b34f completed March 27, 2026, 11:01 p.m.
Created at: March 27, 2026, 2:10 p.m.