Triple

T8016076
Position Surface form Disambiguated ID Type / Status
Subject Olympia de Soissons E186616 entity
Predicate sibling P363 FINISHED
Object Laure Mancini E35515 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: Laure Mancini | Statement: [Olympia de Soissons, sibling, Laure Mancini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laure Mancini
Context triple: [Olympia de Soissons, sibling, Laure Mancini]
  • A. Emmanuelle Vaugier
    Emmanuelle Vaugier is a Canadian actress and model known for her roles in film and television, including appearances in projects like "Two and a Half Men," "Smallville," and various genre films.
  • B. Amandine Malkovich
    Amandine Malkovich is one of the children of American actor and filmmaker John Malkovich.
  • C. Olympia Mancini chosen
    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. Sandrine Holt
    Sandrine Holt is a Canadian actress known for her roles in film and television, including appearances in genre franchises and high-profile dramas.
  • E. Sandrine Kiberlain
    Sandrine Kiberlain is a French actress and singer known for her acclaimed performances in both dramatic and comedic films.
  • 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_69cc93a8923081908402951d6490f8de completed April 1, 2026, 3:40 a.m.
Created at: March 30, 2026, 5:20 p.m.