Triple

T8479884
Position Surface form Disambiguated ID Type / Status
Subject Lavinium E200487 entity
Predicate namedAfter P63 FINISHED
Object Lavinia E388975 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: Lavinia | Statement: [Lavinium, namedAfter, Lavinia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lavinia
Context triple: [Lavinium, namedAfter, Lavinia]
  • A. Lavinia
    Lavinia is a tragic heroine in William Shakespeare’s play "Titus Andronicus," known for her brutal mutilation and symbolic embodiment of suffering and revenge.
  • B. Lavinia chosen
    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.
  • C. Sophonisba
    Sophonisba was a Carthaginian noblewoman whose tragic fate during the Second Punic War, caught between alliances with Numidia and Rome, made her a symbol of political sacrifice and romantic tragedy in ancient history.
  • D. 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.
  • E. Cloelia
    Cloelia was a Roman woman known primarily as one of the wives of the powerful late Republican dictator Lucius Cornelius Sulla.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5232d008190ae55b982f5fc9e8b completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a22d6e481908bdb0b9cc0df0113 completed April 2, 2026, 9:42 a.m.
Created at: March 30, 2026, 6:12 p.m.