Triple

T13599882
Position Surface form Disambiguated ID Type / Status
Subject Onika Tanya Maraj E324915 entity
Predicate notableCollaboration P8554 FINISHED
Object Fefe E125940 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: Fefe | Statement: [Onika Tanya Maraj, notableCollaboration, Fefe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fefe
Context triple: [Onika Tanya Maraj, notableCollaboration, Fefe]
  • A. Fefe chosen
    "Fefe" is a 2018 hip-hop single by rapper Tekashi 6ix9ine featuring Nicki Minaj and Murda Beatz that gained widespread attention for its catchy hook and colorful music video.
  • B. Fay
    Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
  • C. Fay
    Fay is an American television sitcom created by Susan Harris that aired briefly in the 1970s and centered on the life of a recently divorced woman starting over.
  • D. Fay
    Fay is a common informal nickname for the city of Fayetteville, Arkansas.
  • E. Felicia
    Felicia is a feminine given name of Latin origin meaning "happy" or "fortunate," used in various cultures around the world.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0795acc8190a08667ab9dcb0d44 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bcc1ed88190bbf6c83001703b84 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:49 p.m.