Triple

T3974879
Position Surface form Disambiguated ID Type / Status
Subject Lucretia Mott E85615 entity
Predicate givenName P17 FINISHED
Object Lucretia E341925 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: Lucretia | Statement: [Lucretia Mott, givenName, Lucretia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucretia
Context triple: [Lucretia Mott, givenName, Lucretia]
  • A. Lucretia chosen
    Lucretia is a dramatic Baroque painting by Artemisia Gentileschi that depicts the Roman noblewoman Lucretia at the moment of her tragic suicide, emphasizing themes of honor, violence, and female virtue.
  • B. Cloelia
    Cloelia was a Roman woman known primarily as one of the wives of the powerful late Republican dictator Lucius Cornelius Sulla.
  • C. Lavinia
    Lavinia is a novel by Ursula K. Le Guin that reimagines the life of the minor Aeneid character Lavinia, giving her a rich inner world and narrative voice.
  • D. Romola
    Romola is a historical novel by George Eliot set in 15th-century Florence, exploring political upheaval, moral conflict, and personal transformation.
  • E. Felicitas
    Felicitas is a feminine given name of Latin origin, associated with good fortune and happiness and historically linked to the Roman goddess of luck and success.
  • 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9b511f88190afca12c77481b344 completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5401712188190aa6144dc1d5dcab6 completed March 14, 2026, 11:01 a.m.
Created at: March 9, 2026, 3:32 p.m.