Triple

T2498444
Position Surface form Disambiguated ID Type / Status
Subject Yat Malmgren E52405 entity
Predicate name P16 FINISHED
Object Yat Malmgren E52405 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: Yat Malmgren | Statement: [Yat Malmgren, name, Yat Malmgren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yat Malmgren
Context triple: [Yat Malmgren, name, Yat Malmgren]
  • A. Yat Malmgren chosen
    Yat Malmgren was a Swedish-born dancer, choreographer, and influential acting teacher known for developing a movement-based acting technique that shaped generations of performers, particularly through his work at Drama Centre London.
  • B. Carl Molinder
    Carl Molinder is a Swedish film producer best known for his work on the critically acclaimed horror drama "Let the Right One In."
  • C. Per Ahlmark
    Per Ahlmark was a Swedish politician, writer, and former leader of the Liberal People's Party who also served as Sweden’s Deputy Prime Minister in the 1970s.
  • D. Fredrik Meltzer
    Fredrik Meltzer was a Norwegian politician and merchant best known for creating the design of Norway’s national flag in the early 19th century.
  • E. Lars Gyllensten
    Lars Gyllensten was a Swedish author, physician, and long-serving member of the Swedish Academy known for his intellectually rigorous and experimental literary works.
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1ae9040819091b3ca5b98659e99 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f9ed13c81909856db636bfb2e9e completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:46 p.m.