Triple

T20068058
Position Surface form Disambiguated ID Type / Status
Subject An Enemy of the People E499660 entity
Predicate plotSummary P264 FINISHED
Object A doctor discovers that the town’s lucrative spa baths are polluted and faces public hostility when he insists on exposing the truth. 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 doctor discovers that the town’s lucrative spa baths are polluted and faces public hostility when he insists on exposing the truth. | Statement: [An Enemy of the People, plotSummary, A doctor discovers that the town’s lucrative spa baths are polluted and faces public hostility when he insists on exposing the truth.]

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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6637ac3fc8190911063b979c3afb8 completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:39 p.m.