Triple

T8637343
Position Surface form Disambiguated ID Type / Status
Subject The Scotts E204554 entity
Predicate hasWriter P4244 FINISHED
Object Jahaan Sweet E409320 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: Jahaan Sweet | Statement: [The Scotts, hasWriter, Jahaan Sweet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jahaan Sweet
Context triple: [The Scotts, hasWriter, Jahaan Sweet]
  • A. Jahaan Sweet chosen
    Jahaan Sweet is an American record producer and songwriter known for his work with major hip-hop and R&B artists, contributing to critically acclaimed and commercially successful projects.
  • B. Hielan’ Laddie
    Hielan’ Laddie is a traditional Scottish pipe tune widely known as a military march, particularly associated with Highland regiments.
  • C. Kidada Jones
    Kidada Jones is an American actress, model, and fashion designer known for her styling work with major brands and celebrities, as well as for being the daughter of music producer Quincy Jones and actress Peggy Lipton.
  • D. Jussy
    Jussy is a rural municipality in western Switzerland known for its vineyards and countryside within the canton of Geneva.
  • E. Taye
    Taye is the professional nickname of American actor and singer Taye Diggs, known for his work in film, television, and theater.
  • 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_69ca834b903c8190add96cc651e1a477 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc476255508190b3e5855232b399a0 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc2c2b84819087a9f23b47c607e8 completed April 2, 2026, 6:57 p.m.
Created at: March 30, 2026, 6:28 p.m.