Triple

T23480015
Position Surface form Disambiguated ID Type / Status
Subject M (1931 film) E570378 entity
Predicate screenwriter P2831 FINISHED
Object Thea von Harbou NE NERFINISHED

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: Thea von Harbou | Statement: [M (1931 film), screenwriter, Thea von Harbou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thea von Harbou
Context triple: [M (1931 film), screenwriter, Thea von Harbou]
  • A. Thea von Harbou chosen
    Thea von Harbou was a German screenwriter, novelist, and filmmaker best known for writing the novel and co-authoring the screenplay for the classic science fiction film "Metropolis."
  • B. Leni Riefenstahl
    Leni Riefenstahl was a German filmmaker and photographer best known for her pioneering but highly controversial propaganda films made for the Nazi regime.
  • C. Walter Rohland
    Walter Rohland was a German industrialist and steel executive who played a significant role in managing armaments production for Nazi Germany during World War II.
  • D. Günter Dreyer
    Günter Dreyer was a German Egyptologist renowned for his excavations at Abydos and his contributions to the study of Egypt’s earliest dynastic periods.
  • E. Maud Herbert
    Maud Herbert was an English noblewoman of the late 15th century who became Countess of Northumberland through her marriage into the influential Percy family.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a74f48d8819080e875aaea8b46b3 completed April 29, 2026, 6:38 a.m.
Created at: April 17, 2026, 6:03 p.m.