Triple

T3127313
Position Surface form Disambiguated ID Type / Status
Subject Francis and the Lights E65327 entity
Predicate hasCollaborator P10645 FINISHED
Object Cashmere Cat E83314 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: Cashmere Cat | Statement: [Francis and the Lights, hasCollaborator, Cashmere Cat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cashmere Cat
Context triple: [Francis and the Lights, hasCollaborator, Cashmere Cat]
  • A. Cashmere Cat chosen
    Cashmere Cat is a Norwegian DJ, record producer, and musician known for his atmospheric, R&B-influenced electronic music and collaborations with major pop and hip-hop artists.
  • B. Angora cats
    Angora cats are a long-haired, elegant domestic cat breed originating from Turkey, prized for their silky coats, plumed tails, and graceful, affectionate nature.
  • C. Calico
    Calico is a research and development company founded by Google that focuses on understanding aging and developing technologies to extend human lifespan.
  • D. Kitty
    Kitty is a common diminutive or nickname for the given name Catherine.
  • E. Kitty
    "Kitty" is a 1945 historical comedy-drama film set in 18th-century London, best known for starring Paulette Goddard as a pickpocket who rises in society.
  • 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada546a6648190bc4bc3e599e6aa95 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235ad86288190850f6c355a187b26 completed March 12, 2026, 3:40 a.m.
Created at: March 8, 2026, 3:04 p.m.