Triple

T4267462
Position Surface form Disambiguated ID Type / Status
Subject Eduardo Saverin E96859 entity
Predicate spouse P13 FINISHED
Object Elaine Andriejanssen E118608 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: Elaine Andriejanssen | Statement: [Eduardo Saverin, spouse, Elaine Andriejanssen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elaine Andriejanssen
Context triple: [Eduardo Saverin, spouse, Elaine Andriejanssen]
  • A. Elaine Andriejanssen chosen
    Elaine Andriejanssen is a Singapore-based Indonesian-Chinese businesswoman known for her marriage to Facebook co-founder Eduardo Saverin.
  • B. Rena Lalgie
    Rena Lalgie is a British civil servant who became the first Black woman to serve as Governor of Bermuda.
  • C. Colleen Ahland
    Colleen Ahland is a linguist known for her research on the Koman languages of Ethiopia and Sudan, focusing on their documentation, description, and classification.
  • D. Francine Racette
    Francine Racette is a Canadian actress known for her work in films such as "Au revoir les enfants" and for her long-time marriage to actor Donald Sutherland.
  • E. Tanya Lapointe
    Tanya Lapointe is a Canadian filmmaker and former journalist known for her producing work on Denis Villeneuve’s films, including the science-fiction epic Dune: Part Two.
  • 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_69b34543f06c8190915ebb1a4574ffa9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34fce710481909d90ed4a3d150fde completed March 12, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b79992a08190b614a89aa36cf674 completed March 14, 2026, 7:31 p.m.
Created at: March 12, 2026, 11:07 p.m.