Triple

T20152551
Position Surface form Disambiguated ID Type / Status
Subject Mushroom Records E491469 entity
Predicate signedArtist P16560 FINISHED
Object Models 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: Models | Statement: [Mushroom Records, signedArtist, Models]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Models
Context triple: [Mushroom Records, signedArtist, Models]
  • A. The Models chosen
    The Models were a short-lived late-1970s British punk/new wave band best known for featuring guitarist Marco Pirroni before his rise to fame with Adam and the Ants.
  • B. The Models
    The Models is a large post-Impressionist painting by Georges Seurat that depicts three nude female figures in a studio, showcasing his pointillist technique and exploration of modern life.
  • C. Q models
    Q models are Audi’s line of luxury crossover and sport utility vehicles, ranging from compact to full-size performance-oriented SUVs.
  • D. Modell
    Modell is the surname of Art Modell, the influential former owner of the NFL’s Cleveland Browns and Baltimore Ravens.
  • E. Model Codes
    Model Codes are comprehensive, standardized legal frameworks drafted by experts to guide and harmonize legislation and judicial practice across different jurisdictions.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667dda9b4819097ff66bb2b50fc21 completed April 20, 2026, 5:52 p.m.
Created at: April 11, 2026, 11:33 p.m.