Triple

T1675091
Position Surface form Disambiguated ID Type / Status
Subject Rebecca Black E36213 entity
Predicate hasYouTubeChannel P8080 FINISHED
Object Rebecca Black E36213 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: Rebecca Black | Statement: [Rebecca Black, hasYouTubeChannel, Rebecca Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rebecca Black
Context triple: [Rebecca Black, hasYouTubeChannel, Rebecca Black]
  • A. Rebecca Black chosen
    Rebecca Black is an American singer and internet personality best known for her 2011 viral pop song "Friday."
  • B. Meghan Trainor
    Meghan Trainor is an American singer-songwriter and pop artist best known for her retro-influenced hits like "All About That Bass" and her body-positive, doo-wop-inspired sound.
  • C. Mykki Blanco
    Mykki Blanco is an American rapper, performance artist, and poet known for their pioneering role in queer and experimental hip hop.
  • D. Demi Lovato
    Demi Lovato is an American singer, songwriter, and actress known for her powerful vocals, pop hits, and advocacy for mental health awareness.
  • E. Jessie Reyez
    Jessie Reyez is a Canadian singer-songwriter known for her raw, emotive vocals and confessional R&B and pop songs such as "Figures" and her EP "Kiddo."
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa6247ec408190bc25d694b3238fa4 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8ac15c3c8190ba730217efd69a77 completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:29 p.m.