Triple

T19651504
Position Surface form Disambiguated ID Type / Status
Subject Bill Pascrell E471825 entity
Predicate placeOfBirth P1 FINISHED
Object Paterson, New Jersey NE NERFINISHED

How this triple was built (2 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: Paterson, New Jersey | Statement: [Bill Pascrell, placeOfBirth, Paterson, New Jersey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paterson, New Jersey
Context triple: [Bill Pascrell, placeOfBirth, Paterson, New Jersey]
  • A. Paterson, New Jersey
    Paterson, New Jersey is a historic industrial city in northern New Jersey known for its diverse immigrant communities, including a significant Dutch American presence.
  • B. Paterson
    Paterson is a Scottish-origin surname borne by various notable individuals across politics, law, sports, and the arts.
  • C. Paterson
    Paterson is a town in South Africa’s Eastern Cape province, known as a small rural settlement and gateway to nearby game reserves and agricultural areas.
  • D. Paterson chosen
    Paterson is a major city in northern New Jersey known for its industrial history, diverse population, and role as a regional transportation hub.
  • E. Paterson
    Paterson is a long, modernist epic poem by William Carlos Williams that explores the life, landscape, and history of the city of Paterson, New Jersey.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64141f61c819098fe148581fb1747 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.