Triple

T11584008
Position Surface form Disambiguated ID Type / Status
Subject Clerks E274703 entity
Predicate filmingLocation P40 FINISHED
Object Leonardo, 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: Leonardo, New Jersey | Statement: [Clerks, filmingLocation, Leonardo, New Jersey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonardo, New Jersey
Context triple: [Clerks, filmingLocation, Leonardo, New Jersey]
  • A. Leonardo, New Jersey chosen
    Leonardo, New Jersey is a small unincorporated coastal community and census-designated place in Monmouth County known for its residential character and proximity to Raritan Bay.
  • B. Leonia, New Jersey
    Leonia, New Jersey is a small suburban borough in Bergen County known for its residential character and proximity to New York City.
  • C. Rutherford, New Jersey
    Rutherford, New Jersey is a suburban borough in Bergen County known for its residential character and proximity to New York City.
  • D. Newton, New Jersey
    Newton, New Jersey is a small historic town in Sussex County that serves as a regional commercial and governmental center in northwestern New Jersey.
  • E. Woodlynne, New Jersey
    Woodlynne, New Jersey is a small residential borough in the Philadelphia metropolitan area located just outside the city of Camden.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8904db5748190ae5f10ae86ccdf46 completed April 10, 2026, 5:53 a.m.
Created at: April 8, 2026, 9:38 p.m.