Triple

T1164585
Position Surface form Disambiguated ID Type / Status
Subject Upper Manhattan E24571 entity
Predicate contains P35 FINISHED
Object Sugar Hill E72644 NE FINISHED

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: Sugar Hill | Statement: [Upper Manhattan, contains, Sugar Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sugar Hill
Context triple: [Upper Manhattan, contains, Sugar Hill]
  • A. Sugar Hill
    Sugar Hill is a 1993 crime drama film set in Harlem that follows two brothers navigating the dangers of the drug trade and family loyalty.
  • B. West Side
    West Side is a primarily residential neighborhood in Jersey City, New Jersey, known for its diverse community and proximity to Lincoln Park.
  • C. West Side
    West Side is an entertainment-focused district within Disney Springs featuring restaurants, shops, and attractions.
  • D. Sugar Street
    Sugar Street is a novel by Egyptian Nobel laureate Naguib Mahfouz that continues his Cairo Trilogy, depicting the evolving fortunes and political awakenings of a Cairene family across generations.
  • E. Harlem chosen
    Harlem is a historic neighborhood in Upper Manhattan, New York City, renowned as a major African-American cultural and artistic center, especially noted for the Harlem Renaissance.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bccb3b388190938c68dee90b3f19 completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac668290008190a5e175c0a2e5feb0 completed March 7, 2026, 5:55 p.m.
Created at: March 1, 2026, 7:45 p.m.