Triple

T29178404
Position Surface form Disambiguated ID Type / Status
Subject Kill Me Again E739679 entity
Predicate plotSummary P264 FINISHED
Object A down-on-his-luck private investigator is hired by a woman on the run to stage her death, drawing them into a violent conflict with her criminal boyfriend and the mob. 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 down-on-his-luck private investigator is hired by a woman on the run to stage her death, drawing them into a violent conflict with her criminal boyfriend and the mob. | Statement: [Kill Me Again, plotSummary, A down-on-his-luck private investigator is hired by a woman on the run to stage her death, drawing them into a violent conflict with her criminal boyfriend and the mob.]

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_69f07cb74c2c8190ad396487fcb4fde6 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f66343216c81909f1a6503d1538608 completed May 2, 2026, 8:49 p.m.
Created at: April 28, 2026, 11:56 a.m.