Triple

T14123614
Position Surface form Disambiguated ID Type / Status
Subject Lady Amelia Windsor E339965 entity
Predicate mother P120 FINISHED
Object Sylvana Tomaselli E324587 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: Sylvana Tomaselli | Statement: [Lady Amelia Windsor, mother, Sylvana Tomaselli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylvana Tomaselli
Context triple: [Lady Amelia Windsor, mother, Sylvana Tomaselli]
  • A. Sylvana Tomaselli chosen
    Sylvana Tomaselli is a Canadian-born historian and academic, known for her work on political thought and as a member of the British royal family through her marriage to George Windsor, Earl of St Andrews.
  • B. Eugenia Brin
    Eugenia Brin is the mother of Google co-founder Sergey Brin and a Jewish refugee from the Soviet Union who worked as a research scientist in the United States.
  • C. Laura San Giacomo
    Laura San Giacomo is an American actress best known for her roles in films like "Sex, Lies, and Videotape" and the sitcom "Just Shoot Me!"
  • D. Alexis Mann
    Alexis Mann is known as one of the children of American film and television director Daniel Mann.
  • E. Maria Cristina Heller
    Maria Cristina Heller is an actress known for her role in the film "Walking on Sunshine."
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6095548881908a9e66adccca92d2 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf0a7a7c8190860d8ce47b5f0732 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:22 p.m.