Triple

T5491620
Position Surface form Disambiguated ID Type / Status
Subject Jean Case E123714 entity
Predicate coFounderOf P104 FINISHED
Object Case Foundation E119945 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: Case Foundation | Statement: [Jean Case, coFounderOf, Case Foundation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Case Foundation
Context triple: [Jean Case, coFounderOf, Case Foundation]
  • A. Case Foundation chosen
    The Case Foundation is a philanthropic organization focused on promoting social entrepreneurship, impact investing, and innovative approaches to social change.
  • B. Foundation Centre
    The Foundation Centre is an academic department that provides preparatory and foundation-level courses to support students transitioning into degree programs at Queen’s Campus.
  • C. Francqui Foundation
    The Francqui Foundation is a Belgian organization that promotes scientific research and academic excellence, notably by awarding prestigious national prizes to outstanding scholars.
  • D. CASA
    CASA (Construcciones Aeronáuticas S.A.) was a Spanish aircraft manufacturer that became a key predecessor to Airbus through mergers in the European aerospace industry.
  • E. CASA
    CASA is the Australian government authority responsible for regulating civil aviation safety and enforcing air safety standards.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9280403c8190baaa3f7923449a37 completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c884c0c8190b2f8345a5017c71f completed March 22, 2026, 4:14 a.m.
Created at: March 20, 2026, 2:10 p.m.