Triple

T5998696
Position Surface form Disambiguated ID Type / Status
Subject Snow in New York E133539 entity
Predicate title P38 FINISHED
Object Snow in New York E133539 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: Snow in New York | Statement: [Snow in New York, title, Snow in New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snow in New York
Context triple: [Snow in New York, title, Snow in New York]
  • A. Snow in New York chosen
    "Snow in New York" is a 1902 urban winter scene painting by American Ashcan School artist Robert Henri, depicting a snow-covered New York City street with a realist, atmospheric style.
  • B. Autumn in New York
    "Autumn in New York" is a 2000 romantic drama film starring Richard Gere and Winona Ryder, known for its melancholic love story set against the backdrop of New York City.
  • C. Snowfall
    Snowfall is an American crime drama television series that explores the early days of the crack cocaine epidemic in 1980s Los Angeles.
  • D. Up in Central Park
    Up in Central Park is a 1945 Broadway musical comedy with music by Sigmund Romberg, set in 19th-century New York City and centered on political corruption in Tammany Hall.
  • E. Lights of New York
    Lights of New York is a 1928 American crime film historically recognized as the first all-talking feature-length movie.
  • 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_69c00870ddbc81909880fa3864f4f38d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04ee49b708190a92c3fd1336e8ab0 completed March 22, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1087d08f081909842940a28bddb35 completed March 23, 2026, 9:31 a.m.
Created at: March 22, 2026, 4:05 p.m.