Triple

T32066513
Position Surface form Disambiguated ID Type / Status
Subject Ice Princess E818895 entity
Predicate plotSummary P264 FINISHED
Object A physics-obsessed high school girl uses science to improve her figure skating and decides to pursue competitive skating against her mother’s academic expectations. 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 physics-obsessed high school girl uses science to improve her figure skating and decides to pursue competitive skating against her mother’s academic expectations. | Statement: [Ice Princess, plotSummary, A physics-obsessed high school girl uses science to improve her figure skating and decides to pursue competitive skating against her mother’s academic expectations.]

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_69f348fecc088190af1470afe5a969f0 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b51f77bc8190a2641431e5f63ada completed May 3, 2026, 2:38 a.m.
Created at: May 1, 2026, 12:22 a.m.