Triple

T6546494
Position Surface form Disambiguated ID Type / Status
Subject Milton Ager E151021 entity
Predicate movement P81 FINISHED
Object Tin Pan Alley E333419 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: Tin Pan Alley | Statement: [Milton Ager, movement, Tin Pan Alley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tin Pan Alley
Context triple: [Milton Ager, movement, Tin Pan Alley]
  • A. Tin Pan Alley era chosen
    The Tin Pan Alley era was a period in early 20th-century American music history characterized by the dominance of professional songwriters and publishers producing popular songs for Broadway, vaudeville, and mass-market sheet music.
  • B. Sugar Hill
    Sugar Hill is a historic, culturally significant neighborhood in Upper Manhattan, New York City, long associated with the Harlem Renaissance and African-American arts and intellectual life.
  • C. Sugar Hill
    Sugar Hill is a suburban city in Gwinnett County, Georgia, known as part of the greater Atlanta metropolitan area.
  • D. 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.
  • E. Longy
    Longy was the nickname of Abner "Longy" Zwillman, a prominent American Jewish mobster and bootlegger active during Prohibition and mid-20th-century organized crime.
  • 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_69c687f3fd60819083bfa583e5bcfa71 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6adf00aa48190a86a9ad4795363d9 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e41f1eb8819086d0094015bdc1af completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:50 p.m.