Triple

T38502107
Position Surface form Disambiguated ID Type / Status
Subject The Boy Downstairs E919864 entity
Predicate plotSummary P264 FINISHED
Object A young woman returns to New York City and unknowingly moves into an apartment above her ex-boyfriend, forcing them to confront their unresolved past. LITERAL FINISHED

How this triple was built (1 step)

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: A young woman returns to New York City and unknowingly moves into an apartment above her ex-boyfriend, forcing them to confront their unresolved past. | Statement: [The Boy Downstairs, plotSummary, A young woman returns to New York City and unknowingly moves into an apartment above her ex-boyfriend, forcing them to confront their unresolved past.]

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_69f76e9ddd4481908f8c04439d848f9d completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fcd264449c8190ad01454debd0c73e completed May 7, 2026, 5:56 p.m.
Created at: May 3, 2026, 4:31 p.m.