Triple

T7900064
Position Surface form Disambiguated ID Type / Status
Subject New York Movie E183426 entity
Predicate hasTitle P38 FINISHED
Object New York Movie E183426 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: New York Movie | Statement: [New York Movie, hasTitle, New York Movie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New York Movie
Context triple: [New York Movie, hasTitle, New York Movie]
  • A. New York Movie chosen
    New York Movie is a 1939 oil painting by American realist artist Edward Hopper depicting a solitary usherette in a dimly lit movie theater, exemplifying his themes of urban isolation and introspective quiet.
  • B. New York (novel continuity)
    New York (novel continuity) is the fictional U.S. state depicted in the Jaws novel universe, serving as the broader setting that includes locations like Amity Island.
  • C. NYC
    NYC is a historic American railroad company that operated major passenger and freight services across the northeastern and midwestern United States.
  • D. New York City
    New York City is the largest city in the United States, a global center of finance, culture, media, and technology.
  • E. Jones New York
    Jones New York is an American women’s apparel brand known for its classic, career-focused and ready-to-wear clothing.
  • 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_69ca828d13088190b222be7aa9f9315c completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a3dc2208190a6fea93b60b8daca completed March 31, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bb719a08190a0545a361f559bf7 completed March 31, 2026, 5:29 a.m.
Created at: March 30, 2026, 5:02 p.m.