Triple

T15951129
Position Surface form Disambiguated ID Type / Status
Subject K'naan E386819 entity
Predicate song P20452 FINISHED
Object Fatima E174308 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: Fatima | Statement: [K'naan, song, Fatima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fatima
Context triple: [K'naan, song, Fatima]
  • A. Fatima chosen
    Fatima is a desert woman in Paulo Coelho’s novel "The Alchemist," symbolizing true love and spiritual devotion that supports the protagonist’s quest.
  • B. Fatima
    Fatima is a renowned Portuguese pilgrimage town famous for reported Marian apparitions and its major Catholic sanctuary.
  • C. Fatima
    Fatima is a small community located on the Magdalen Islands in Quebec, Canada, known for its maritime setting and Acadian culture.
  • D. Fatima
    Fatima is a common female given name of Arabic origin, widely used in Muslim-majority cultures and historically associated with Fatimah, the daughter of the Prophet Muhammad.
  • E. Aisha
    Aisha is a singer who performed one of the official songs for the 2022 FIFA World Cup.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d59f5081909f6a81d578c4e2e8 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe78a76481909622d7a2443cba4d completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.