Triple

T9425177
Position Surface form Disambiguated ID Type / Status
Subject Raspberry Beret E227247 entity
Predicate performer P1363 FINISHED
Object Prince and The Revolution E329075 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: Prince and The Revolution | Statement: [Raspberry Beret, performer, Prince and The Revolution]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prince and The Revolution
Context triple: [Raspberry Beret, performer, Prince and The Revolution]
  • A. Prince and The Revolution chosen
    Prince and The Revolution was the American funk-rock band fronted by Prince that gained worldwide fame in the 1980s with landmark albums like "Purple Rain."
  • B. Cream
    "Cream" is a 1991 funk-rock song by Prince and the New Power Generation that became one of Prince's major hit singles.
  • C. Cream
    Cream was a pioneering British rock supergroup of the 1960s, featuring Eric Clapton, Jack Bruce, and Ginger Baker, known for their influential blend of blues rock, psychedelic rock, and extended improvisational jams.
  • D. Prom Queen
    Prom Queen is a 2010s American indie rock band known for its nostalgic, cinematic sound blending surf rock, doo-wop, and retro pop influences.
  • E. Queen's
    Queen's is a prestigious public research university located in Kingston, Ontario, Canada, known for its strong academic programs and historic campus.
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7c8f59dc8190854dfc0d287731c6 completed April 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d15261b31881908c1059d704e56bf6 completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 7:49 p.m.