Triple

T4676575
Position Surface form Disambiguated ID Type / Status
Subject Silver Lake Reservoir E103695 entity
Predicate namedAfter P63 FINISHED
Object Herman Silver E168741 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: Herman Silver | Statement: [Silver Lake Reservoir, namedAfter, Herman Silver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herman Silver
Context triple: [Silver Lake Reservoir, namedAfter, Herman Silver]
  • A. Herman Silver chosen
    Herman Silver was a prominent Los Angeles civic leader and public official after whom the Silver Lake neighborhood and reservoir were named.
  • B. Herman Lieberman
    Herman Lieberman was a prominent Polish socialist politician, lawyer, and parliamentarian active in the early 20th century, known for his leadership in the Polish left and opposition to authoritarianism.
  • C. Louis Hellman
    Louis Hellman is a British architect and cartoonist best known for his satirical illustrations about architecture and the built environment.
  • D. Samuel Ehrlich
    Samuel Ehrlich is an individual notable enough to be recognized as a prominent bearer of the surname Ehrlich.
  • E. Henry Alsberg
    Henry Alsberg was an American journalist, editor, and theater producer best known for directing the New Deal–era Federal Writers’ Project, which employed thousands of writers during the Great Depression.
  • 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_69bd43dda32c8190938b37744ca270fc completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd63685cb88190ac1904e2c7eb6b61 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5c80125c8190b0ac3f759cce1c32 completed March 21, 2026, 8:53 a.m.
Created at: March 20, 2026, 1:16 p.m.