Triple

T7531762
Position Surface form Disambiguated ID Type / Status
Subject I Am Greta E178039 entity
Predicate producer P490 FINISHED
Object Fredrik Heinig E25252 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: Fredrik Heinig | Statement: [I Am Greta, producer, Fredrik Heinig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fredrik Heinig
Context triple: [I Am Greta, producer, Fredrik Heinig]
  • A. Fredrik Heinig chosen
    Fredrik Heinig is a film producer known for his work on the documentary "I Am Greta" about climate activist Greta Thunberg.
  • B. Fredrik Pacius
    Fredrik Pacius was a 19th-century German-Finnish composer best known for writing the music to the national anthems of Finland and Estonia.
  • C. Johan Palmstruch
    Johan Palmstruch was a 17th-century financier and entrepreneur best known for establishing one of Europe’s earliest note-issuing banks and pioneering the use of paper money in Sweden.
  • D. Karl-Gottfried Nordmann
    Karl-Gottfried Nordmann was a German Luftwaffe fighter ace of World War II, credited with numerous aerial victories on the Eastern Front.
  • E. Johan Frølich
    Johan Frølich was a Norwegian nobleman and landowner of the 18th century, known primarily as the father of the prominent salon hostess and landowner Cecilie Christine Schøller.
  • 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_69c69f2acdbc8190b5a8320168c1d0ba completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f84753fc81908bee2013004ef5fb completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f03485c8190829beb95a8be0236 completed March 28, 2026, 9:58 p.m.
Created at: March 27, 2026, 3:47 p.m.