Triple

T5752127
Position Surface form Disambiguated ID Type / Status
Subject Mark Ronson E126876 entity
Predicate collaboratedWith P435 FINISHED
Object Lana Del Rey E115555 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: Lana Del Rey | Statement: [Mark Ronson, collaboratedWith, Lana Del Rey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lana Del Rey
Context triple: [Mark Ronson, collaboratedWith, Lana Del Rey]
  • A. Lana Del Rey chosen
    Lana Del Rey is an American singer-songwriter known for her cinematic, melancholic pop music that blends nostalgic Americana with themes of tragic romance and glamour.
  • B. Margo King
    Margo King is a notable individual distinguished enough to be recognized as a prominent bearer of the surname King.
  • C. Fiona Apple
    Fiona Apple is an American singer-songwriter and pianist known for her emotionally intense lyrics, distinctive vocal style, and critically acclaimed albums such as "Tidal" and "When the Pawn..."
  • D. Lorde
    Lorde is a New Zealand singer-songwriter known for her minimalist electropop sound and introspective lyrics, who gained international fame with her hit single "Royals."
  • E. Elizabeth Young
    Elizabeth Young was an American actress active in the 1930s who appeared in several Hollywood films before retiring from the screen.
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0288b580c81909e1289982b106695 completed March 22, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e3e71988190a938a6d175023028 completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:48 p.m.