Triple

T16229532
Position Surface form Disambiguated ID Type / Status
Subject Flashdance E393941 entity
Predicate plotSummary P264 FINISHED
Object The film follows Alex Owens, a young woman who works as a welder by day and an exotic dancer by night while aspiring to become a professional ballerina. — 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: The film follows Alex Owens, a young woman who works as a welder by day and an exotic dancer by night while aspiring to become a professional ballerina. | Statement: [Flashdance, plotSummary, The film follows Alex Owens, a young woman who works as a welder by day and an exotic dancer by night while aspiring to become a professional ballerina.]

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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d2889688190ac04e4e9479cabf4 completed April 17, 2026, 2:01 p.m.
Created at: April 10, 2026, 5:03 a.m.