Triple

T9424404
Position Surface form Disambiguated ID Type / Status
Subject Prince Rogers Nelson E227232 entity
Predicate notableWork P4 FINISHED
Object Raspberry Beret E227247 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: Raspberry Beret | Statement: [Prince Rogers Nelson, notableWork, Raspberry Beret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raspberry Beret
Context triple: [Prince Rogers Nelson, notableWork, Raspberry Beret]
  • A. Raspberry Beret chosen
    "Raspberry Beret" is a 1985 pop-funk song by Prince and The Revolution, known for its vivid storytelling, catchy melody, and prominent use of psychedelic pop influences.
  • B. Glengarry bonnet
    The Glengarry bonnet is a traditional Scottish cap, typically creased and boat-shaped with ribbons at the back, commonly worn as part of Highland military and ceremonial dress.
  • C. Red Doff
    Red Doff was a film producer active in mid-20th-century American cinema.
  • D. The New York Hat
    The New York Hat is a 1912 silent short film directed by D.W. Griffith and starring Mary Pickford, often noted as an early landmark of American narrative cinema.
  • E. Leopard-Skin Pill-Box Hat
    "Leopard-Skin Pill-Box Hat" is a satirical, blues-inflected song by Bob Dylan, noted for its surreal humor and biting critique of fashion and superficiality.
  • 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_69cd6c29b4348190b45103e9ebd82aa4 completed April 1, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107d677c08190a438659c170bab72 completed April 4, 2026, 12:45 p.m.
Created at: March 30, 2026, 7:49 p.m.