Triple

T8118734
Position Surface form Disambiguated ID Type / Status
Subject Friday (song) E189544 entity
Predicate anniversaryRemixFeatures P75509 FINISHED
Object Big Freedia E240190 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: Big Freedia | Statement: [Friday (song), anniversaryRemixFeatures, Big Freedia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Big Freedia
Context triple: [Friday (song), anniversaryRemixFeatures, Big Freedia]
  • A. Big Freedia chosen
    Big Freedia is an American musician and performer widely known for popularizing New Orleans bounce music and bringing the genre to mainstream audiences.
  • B. Saweetie
    Saweetie is an American rapper and songwriter known for her catchy, confident hip-hop tracks like "ICY GRL" and "My Type."
  • C. Dej Loaf
    Dej Loaf is an American rapper and singer from Detroit known for her melodic style and breakout single "Try Me."
  • D. Tierra Whack
    Tierra Whack is an American rapper, singer, and songwriter known for her inventive, genre-blending style and the critically acclaimed visual album "Whack World."
  • E. Blac Chyna
    Blac Chyna is an American model, entrepreneur, and media personality known for her appearances in hip-hop music videos, reality television, and her high-profile relationships in the entertainment industry.
  • 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_69ca82baad008190ab2859712b9b1607 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb7266bc148190984060b7b95effb5 completed March 31, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc944d009c81908ceb37b6922efb59 completed April 1, 2026, 3:43 a.m.
Created at: March 30, 2026, 5:33 p.m.