Triple

T7775749
Position Surface form Disambiguated ID Type / Status
Subject Thea von Harbou E221384 entity
Predicate spouse P13 FINISHED
Object Fritz Lang E43220 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: Fritz Lang | Statement: [Thea von Harbou, spouse, Fritz Lang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fritz Lang
Context triple: [Thea von Harbou, spouse, Fritz Lang]
  • A. Fritz Lang chosen
    Fritz Lang was an influential Austrian-German filmmaker and screenwriter, best known for pioneering expressionist cinema with classics like "Metropolis" and "M."
  • B. Josef von Sternberg
    Josef von Sternberg was an influential Austrian-American film director best known for his visually stylized Hollywood films and his collaborations with actress Marlene Dietrich in the early 1930s.
  • C. F. W. Murnau
    F. W. Murnau was a pioneering German film director of the silent era, best known for expressionist and visually innovative classics such as "Nosferatu" and "Sunrise."
  • D. Robert Siodmak
    Robert Siodmak was a German-born film director best known for his influential work in Hollywood film noir during the 1940s.
  • E. 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.
  • 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_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69caa4d005808190ac14c8d716421bdb completed March 30, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69cde6a2bdd08190897705615109dae0 completed April 2, 2026, 3:46 a.m.
Created at: March 30, 2026, 3:51 p.m.