Triple

T3116993
Position Surface form Disambiguated ID Type / Status
Subject Julia Livilla E65086 entity
Predicate grandmother P3524 FINISHED
Object Antonia Minor E67275 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: Antonia Minor | Statement: [Julia Livilla, grandmother, Antonia Minor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antonia Minor
Context triple: [Julia Livilla, grandmother, Antonia Minor]
  • A. Antonia Minor chosen
    Antonia Minor was a prominent Roman noblewoman of the early Imperial period, daughter of Mark Antony and Octavia Minor, and a key figure in the Julio-Claudian dynasty.
  • B. Julia Minor
    Julia Minor was a Roman noblewoman of the late Republic, best known as the niece of Julius Caesar and grandmother of the future emperor Augustus.
  • C. Clementina
    Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • D. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • E. Corinna
    Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
  • 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada4e5d1488190a2ab199625fdf05d completed March 8, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f606fc881908754a78e6aa2de64 completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:04 p.m.