Triple

T3884009
Position Surface form Disambiguated ID Type / Status
Subject How to Marry a Millionaire E92894 entity
Predicate editedBy P1954 FINISHED
Object Louis Loeffler E333708 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: Louis Loeffler | Statement: [How to Marry a Millionaire, editedBy, Louis Loeffler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louis Loeffler
Context triple: [How to Marry a Millionaire, editedBy, Louis Loeffler]
  • A. Louis Loeffler chosen
    Louis Loeffler was an American film editor active during Hollywood’s studio era, known for his work on numerous major 20th Century Fox productions.
  • B. Alfred Meyer
    Alfred Meyer was a high-ranking Nazi official who served as a key administrator in the German occupation of Eastern Europe during World War II.
  • C. Ludwig Ehrlich
    Ludwig Ehrlich was a Polish Jesuit priest, legal scholar, and professor of international law known for his contributions to the development of legal thought in interwar Poland.
  • D. Joachim Ehrlich
    Joachim Ehrlich is a notable individual bearing the surname Ehrlich, recognized for his contributions in his respective field.
  • E. Wilhelm Ritter von Thoma
    Wilhelm Ritter von Thoma was a German Wehrmacht general and tank commander in World War II, best known for leading armored forces in the North African campaign.
  • 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_69aed9697de0819087c2559295ff3d12 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeec9029908190a7b36a3827734db1 completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5125bee048190ba7553797e9fd254 completed March 14, 2026, 7:46 a.m.
Created at: March 9, 2026, 3:20 p.m.