Triple

T20052359
Position Surface form Disambiguated ID Type / Status
Subject Lake Frank E499234 entity
Predicate namedAfter P63 FINISHED
Object Bernard Frank 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: Bernard Frank | Statement: [Lake Frank, namedAfter, Bernard Frank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bernard Frank
Context triple: [Lake Frank, namedAfter, Bernard Frank]
  • A. Bernard Frank chosen
    Bernard Frank was an American conservationist and environmental advocate best known for helping to establish The Wilderness Society and promoting the protection of wild lands in the United States.
  • B. Bernard L. Nussbaum
    Bernard L. Nussbaum is an American lawyer and television producer best known for his work as an executive producer on the legal drama series "Body of Proof."
  • C. Bernard Herzbrun
    Bernard Herzbrun was an American art director known for his work on numerous Hollywood films during the 1930s and 1940s.
  • D. Bernard Weiss
    Bernard Weiss is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the surname Weiss.
  • E. Bernard C. Schoenfeld
    Bernard C. Schoenfeld was an American screenwriter known for his work on mid-20th-century film noir and crime dramas.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6632ee4d48190b9de3a1efa064492 completed April 20, 2026, 5:32 p.m.
Created at: April 11, 2026, 3:38 p.m.