Triple

T20881981
Position Surface form Disambiguated ID Type / Status
Subject Telefon E514173 entity
Predicate plotSummary P264 FINISHED
Object A Soviet officer attempts to stop a rogue KGB agent who plans to activate sleeper agents in the United States using a trigger phrase from Robert Frost’s poetry. 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 Soviet officer attempts to stop a rogue KGB agent who plans to activate sleeper agents in the United States using a trigger phrase from Robert Frost’s poetry. | Statement: [Telefon, plotSummary, A Soviet officer attempts to stop a rogue KGB agent who plans to activate sleeper agents in the United States using a trigger phrase from Robert Frost’s poetry.]

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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c67a33548190b0f5ba58b001d387 completed April 21, 2026, 12:36 a.m.
Created at: April 16, 2026, 12:46 p.m.