Triple

T6360048
Position Surface form Disambiguated ID Type / Status
Subject Taking Chances E143086 entity
Predicate producer P490 FINISHED
Object Johan Åberg E271622 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 Åberg | Statement: [Taking Chances, producer, Johan Åberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johan Åberg
Context triple: [Taking Chances, producer, Johan Åberg]
  • A. Johan Carlsson
    Johan Carlsson is a music producer known for his work on the film soundtrack for "Legend."
  • B. Johan Aberg chosen
    Johan Åberg is a Swedish songwriter and producer known for his work on international pop hits, including contributions to artists like Christina Aguilera.
  • C. 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.
  • D. Andreas Norlén
    Andreas Norlén is a Swedish politician who serves as the Speaker of the Riksdag, Sweden’s national legislature.
  • E. Jesper Mattsson
    Jesper Mattsson is a Swedish former professional ice hockey forward known for his long career in the Swedish leagues and contributions to teams like Malmö Redhawks and the national team.
  • 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067f8758081909c5ce40abf57dd2c completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c685748e808190a540d9f99cd58a8a completed March 27, 2026, 1:26 p.m.
Created at: March 22, 2026, 4:32 p.m.