Triple

T23530121
Position Surface form Disambiguated ID Type / Status
Subject Daniel Heath E576540 entity
Predicate coWroteWith P2389 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: [Daniel Heath, coWroteWith, Lana Del Rey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lana Del Rey
Context triple: [Daniel Heath, coWroteWith, 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_69e245f5a8848190a2ba42e271c6c31f completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ac7759e88190aea55c65e24c081f completed April 29, 2026, 7 a.m.
Created at: April 17, 2026, 6:09 p.m.