Triple

T12266932
Position Surface form Disambiguated ID Type / Status
Subject Agnes E292369 entity
Predicate appearsIn P795 FINISHED
Object Agnes of Sorrento E59262 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 of Sorrento | Statement: [Agnes, appearsIn, Agnes of Sorrento]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agnes of Sorrento
Context triple: [Agnes, appearsIn, Agnes of Sorrento]
  • A. Agnes of Sorrento chosen
    Agnes of Sorrento is a historical novel by Harriet Beecher Stowe set in Renaissance Italy, exploring themes of faith, love, and moral conflict.
  • B. Sadie Miller
    Sadie Miller is a British actress and writer, best known for continuing her mother Elisabeth Sladen’s legacy by voicing Sarah Jane Smith in Doctor Who audio dramas.
  • C. Emily Eden
    Emily Eden was a 19th-century English author and aristocrat known for her witty novels and letters depicting British high society and colonial life in India.
  • D. Agnes of Rochlitz
    Agnes of Rochlitz was a 12th-century German noblewoman of the Wettin dynasty who became Margravine of Meissen through marriage into the House of Wettin.
  • E. Sybylla
    Sybylla is the spirited, independent-minded young heroine and narrator of Miles Franklin’s classic Australian novel "My Brilliant Career."
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cdd7b3c8190afd237cd9b633d4d completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e6799088190a5644267733ca2e5 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.