Triple

T4478862
Position Surface form Disambiguated ID Type / Status
Subject Alexander Shuckburgh E100077 entity
Predicate workedWith P398 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: [Alexander Shuckburgh, workedWith, Lana Del Rey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lana Del Rey
Context triple: [Alexander Shuckburgh, workedWith, 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356db0a008190ad39b68efc095b8d completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b62888ea508190a052c0b2edee7fca completed March 15, 2026, 3:33 a.m.
Created at: March 12, 2026, 11:35 p.m.