Triple

T10648233
Position Surface form Disambiguated ID Type / Status
Subject Mena Massoud E250891 entity
Predicate nationality P2 FINISHED
Object Canadian E14901 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: Canadian | Statement: [Mena Massoud, nationality, Canadian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canadian
Context triple: [Mena Massoud, nationality, Canadian]
  • A. CANADIAN
    CANADIAN was the radio callsign used by Canadian Airlines for its commercial flight operations.
  • B. Canada chosen
    Canada is a large North American country known for its vast natural landscapes, bilingual English-French heritage, and stable parliamentary democracy.
  • C. European Canadians
    European Canadians are Canadian citizens or residents whose ancestry originates from various countries across Europe, encompassing a wide range of cultural, linguistic, and historical backgrounds.
  • D. British Canada
    British Canada was the collective term for the British-controlled territories in North America that played a supporting role to Indigenous allies and British interests during late 18th-century conflicts such as the Northwest Indian War.
  • E. Kanada
    Kanada was an ancient Indian philosopher who founded the Vaisheshika school of Hindu philosophy, known for its early atomic theory and analysis of reality through categories of substance and qualities.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfe29b8081908eb13637e0475ba1 completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a60fdd881908987f920a19bb41e completed April 10, 2026, 10:32 p.m.
Created at: April 8, 2026, 9:05 p.m.