Triple

T37974702
Position Surface form Disambiguated ID Type / Status
Subject The Wife of Bath's Tale E947388 entity
Predicate plotSummary P264 FINISHED
Object A knight who rapes a maiden is condemned to death but is given a year and a day to discover what women most desire in order to save his life. 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 knight who rapes a maiden is condemned to death but is given a year and a day to discover what women most desire in order to save his life. | Statement: [The Wife of Bath's Tale, plotSummary, A knight who rapes a maiden is condemned to death but is given a year and a day to discover what women most desire in order to save his life.]

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_69f76ef7db908190bba6086673a32300 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbbdfe0ba08190acd0c6e6ee0a7e0d completed May 6, 2026, 10:17 p.m.
Created at: May 3, 2026, 4:20 p.m.