Triple

T15063897
Position Surface form Disambiguated ID Type / Status
Subject The China Lake Murders E379705 entity
Predicate executiveProducer P7225 FINISHED
Object Frank von Zerneck 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: Frank von Zerneck | Statement: [The China Lake Murders, executiveProducer, Frank von Zerneck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank von Zerneck
Context triple: [The China Lake Murders, executiveProducer, Frank von Zerneck]
  • A. Frank von Zerneck chosen
    Frank von Zerneck is an American television and film producer known for his work on numerous made-for-TV movies and miniseries.
  • B. August Hirschwald
    August Hirschwald was a 19th-century German publisher known for issuing influential scientific and medical works, including key texts in pathology.
  • C. Hans von Salmuth
    Hans von Salmuth was a German Wehrmacht general during World War II who held several high-level field commands on the Eastern and Western Fronts.
  • D. Ernst Göhner
    Ernst Göhner was a prominent Swiss entrepreneur and industrialist known for building a major construction and real estate empire and for his significant philanthropic legacy.
  • E. Ernst Sagebiel
    Ernst Sagebiel was a German architect best known for designing monumental Nazi-era structures, including major airport and government buildings in Berlin.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedee803ac81908bb7d66e49c2eb72 completed April 15, 2026, 12:42 a.m.
Created at: April 10, 2026, 3:02 a.m.