Triple

T13081461
Position Surface form Disambiguated ID Type / Status
Subject Agnes of France E310215 entity
Predicate givenName P17 FINISHED
Object Agnes E88099 NE FINISHED

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 of France, givenName, Agnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agnes
Context triple: [Agnes of France, givenName, Agnes]
  • A. Agnes
    Agnes is the sweet, unicorn-obsessed youngest daughter of Gru in the Despicable Me franchise, known for her innocence, enthusiasm, and iconic “It’s so fluffy!” line.
  • B. Agnes
    Agnes is a character from Matthew Gregory Lewis's Gothic novel "The Monk," known for her tragic storyline involving forbidden love and persecution.
  • C. Agnes chosen
    Agnes is a feminine given name of Greek origin meaning "pure" or "chaste," historically popular in various European cultures and Christian traditions.
  • D. Agnes
    Agnes is the devout young heroine of Harriet Beecher Stowe’s novel "Agnes of Sorrento," set in Renaissance Italy.
  • E. Agnes
    Agnes is the central, emotionally fragile yet controlling matriarch in Edward Albee’s play "A Delicate Balance," around whom the family’s tensions and existential anxieties revolve.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9811add9881908a92186dab5b6d48 completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d60c603881909dff49f4356042b5 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 9:01 p.m.