Triple

T20862790
Position Surface form Disambiguated ID Type / Status
Subject Agnes Smith E513665 entity
Predicate givenName P17 FINISHED
Object Agnes NE NERFINISHED

How this triple was built (2 steps)

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: Agnes | Statement: [Agnes Smith, givenName, Agnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agnes
Context triple: [Agnes Smith, givenName, Agnes]
  • A. Agnes chosen
    Agnes is a feminine given name of Greek origin meaning "pure" or "chaste," historically popular in various European cultures and Christian traditions.
  • B. Agnes
    Agnes is a young nun at the center of a psychological and spiritual mystery surrounding a newborn's death in the play and film "Agnes of God."
  • C. Agnes
    Agnes is the introspective suburban housewife who discovers a passion and talent for jigsaw puzzles in the 2018 drama film "Puzzle."
  • D. Agnes
    Agnes is a character in the novel and film "Hector and the Search for Happiness," serving as Hector’s girlfriend and an emotional anchor in his quest to understand what truly makes people happy.
  • E. Agnes
    Agnes is a character from Matthew Gregory Lewis's Gothic novel "The Monk," known for her tragic storyline involving forbidden love and persecution.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b4f5b01081909452f654d2fc3f50 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c45d2ec4819098abbb901b9fcd87 completed April 21, 2026, 12:27 a.m.
Created at: April 16, 2026, 12:44 p.m.