Triple

T8016143
Position Surface form Disambiguated ID Type / Status
Subject Mazarinettes E186619 entity
Predicate hasMember P10 FINISHED
Object Laura Mancini E201936 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: Laura Mancini | Statement: [Mazarinettes, hasMember, Laura Mancini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laura Mancini
Context triple: [Mazarinettes, hasMember, Laura Mancini]
  • A. Laura Mancini chosen
    Laura Mancini was a 17th-century French courtier and one of Cardinal Mazarin’s nieces, known for her influential position at the court of Louis XIV.
  • B. Monica Mancini
    Monica Mancini is an American singer and concert performer known for interpreting and preserving the music of her father, famed composer Henry Mancini.
  • C. Olympia Mancini
    Olympia Mancini was a 17th-century Italian-born French courtier and niece of Cardinal Mazarin, known for her influence at the court of Louis XIV and her involvement in the Affair of the Poisons.
  • D. Mara Carfagna
    Mara Carfagna is an Italian politician and former television showgirl who has served as a prominent minister and parliamentarian in center-right governments.
  • E. Francesca Marciano
    Francesca Marciano is an Italian author and screenwriter known for her internationally acclaimed novels and short story collections that often explore cross-cultural relationships and contemporary women's lives.
  • 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_69ca82ac7fc081909b1398cf025423af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3df37a00819088780e5461bc5b41 completed March 31, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd33f9074c8190aeefc7f5283017e9 completed April 1, 2026, 3:04 p.m.
Created at: March 30, 2026, 5:20 p.m.