Triple

T19089441
Position Surface form Disambiguated ID Type / Status
Subject Dan Heath E467243 entity
Predicate collaboratedWith P435 FINISHED
Object Lana Del Rey NE NERFINISHED

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: [Dan Heath, collaboratedWith, Lana Del Rey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lana Del Rey
Context triple: [Dan Heath, 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. Anaïs Mitchell
    Anaïs Mitchell is an American singer-songwriter and playwright best known for creating the folk opera and Tony Award–winning Broadway musical "Hadestown."
  • D. 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..."
  • E. Emily King
    Emily King is an American singer-songwriter known for her soulful blend of R&B, pop, and jazz influences and her critically acclaimed, Grammy-nominated work.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e34a589c8190b5171fab45bf2204 completed April 20, 2026, 8:26 a.m.
Created at: April 10, 2026, 12:04 p.m.