Triple

T13993415
Position Surface form Disambiguated ID Type / Status
Subject Quizás E336636 entity
Predicate producer P490 FINISHED
Object Anders Bagge E598518 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: Anders Bagge | Statement: [Quizás, producer, Anders Bagge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anders Bagge
Context triple: [Quizás, producer, Anders Bagge]
  • A. Anders Bagge chosen
    Anders Bagge is a Swedish music producer and songwriter known for working with major international pop artists and contributing to numerous hit records.
  • B. Anders Gyldenklou
    Anders Gyldenklou was a Swedish nobleman and statesman who rose to one of the highest financial and political offices in the Swedish realm.
  • C. Anders Hove
    Anders Hove is a Danish actor best known for his roles in horror and science fiction films, as well as for his long-running portrayal of the villainous Cesar Faison on the soap opera "General Hospital."
  • D. Ebbe Borregaard
    Ebbe Borregaard is a poet associated with the mid-20th-century San Francisco avant-garde, particularly the circle around Robert Duncan and Jack Spicer.
  • E. Morten Borg
    Morten Borg is a Norwegian figure known primarily as the father of Marius Borg Høiby, the eldest son of Norway’s Crown Princess Mette-Marit.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb3b5d881909f15a1e08bb202f3 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd323e89948190bb280e93e2058c0a completed May 8, 2026, 12:45 a.m.
Created at: April 9, 2026, 10:19 p.m.