Triple

T7418050
Position Surface form Disambiguated ID Type / Status
Subject Smile E171177 entity
Predicate producer P490 FINISHED
Object Johan Carlsson E226296 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: Johan Carlsson | Statement: [Smile, producer, Johan Carlsson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johan Carlsson
Context triple: [Smile, producer, Johan Carlsson]
  • A. Johan Carlsson chosen
    Johan Carlsson is a music producer known for his work on the film soundtrack for "Legend."
  • B. Andreas Carlsson
    Andreas Carlsson is a Swedish songwriter and producer known for crafting international pop hits for artists such as Britney Spears, Backstreet Boys, and Celine Dion.
  • C. Erik Carlsson
    Erik Carlsson was a legendary Swedish rally driver famed for his success in international competitions during the 1950s and 1960s, particularly with Saab.
  • D. Lars Martinsson
    Lars Martinsson is a Swedish handball coach and former player known for his contributions to Scandinavian club handball.
  • E. Anders Hagfeldt
    Anders Hagfeldt is a Swedish chemist and academic leader known for his research in solar cell technology and his role as a university administrator.
  • 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_69c68a625d048190af70eb8b63bec5a0 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2c9314c8190855b79a2e6ef3e9b completed March 27, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8277c92788190bcd36cfa461b4d95 completed March 28, 2026, 7:09 p.m.
Created at: March 27, 2026, 3:11 p.m.