Triple

T1675112
Position Surface form Disambiguated ID Type / Status
Subject Rebecca Black E36213 entity
Predicate studioAlbum P25507 FINISHED
Object Let Her Burn E189546 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: Let Her Burn | Statement: [Rebecca Black, studioAlbum, Let Her Burn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Let Her Burn
Context triple: [Rebecca Black, studioAlbum, Let Her Burn]
  • A. Let Her Burn chosen
    Let Her Burn is a 2023 electropop EP by American singer Rebecca Black that marks her critically acclaimed reinvention with darker, more experimental pop sounds.
  • B. Through the Fire
    "Through the Fire" is a 1984 soulful R&B ballad by Chaka Khan, renowned for its powerful vocals and enduring popularity as one of her signature songs.
  • C. On Fire
    On Fire is a nonfiction book by Naomi Klein that explores the climate crisis and advocates for transformative, justice-centered solutions such as a Green New Deal.
  • D. Something’s Burning
    Something’s Burning is a 1969 country-pop song by Kenny Rogers and The First Edition, known for its sultry tone and dramatic arrangement.
  • E. House on Fire
    House on Fire is a nonfiction book by William H. Foege recounting the global campaign to eradicate smallpox and his central role in that historic public health effort.
  • 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_69ad798b0f1c81908174b312878e559b completed March 8, 2026, 1:28 p.m.
Created at: March 4, 2026, 7:29 p.m.