Triple

T2357166
Position Surface form Disambiguated ID Type / Status
Subject Campanile E47582 entity
Predicate namedAfter P63 FINISHED
Object Peder Sather E19128 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: Peder Sather | Statement: [Campanile, namedAfter, Peder Sather]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peder Sather
Context triple: [Campanile, namedAfter, Peder Sather]
  • A. Peder Sather chosen
    Peder Sather was a 19th-century Norwegian-born American banker and philanthropist known for his significant financial support of the University of California, Berkeley.
  • B. Fred Borch
    Fred Borch was an American business executive best known for his leadership at General Electric and his influential role in U.S. corporate governance circles.
  • C. Willam Christensen
    Willam Christensen was an influential American ballet dancer, choreographer, and director best known for helping establish professional ballet in the United States, including shaping the early artistic direction of the San Francisco Ballet.
  • D. Ron Jensen
    Ron Jensen is an American politician who has served as the mayor of Grand Prairie, Texas.
  • E. Frederic Knudtson
    Frederic Knudtson was an American film editor known for his work on numerous Hollywood productions in the mid-20th century.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc71e0c68819082eebd80721abcc1 completed March 7, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea888b5a881909b1f91562957388d completed March 9, 2026, 11:01 a.m.
Created at: March 4, 2026, 7:54 p.m.