Triple

T21432999
Position Surface form Disambiguated ID Type / Status
Subject Dorothy Buffum Chandler E528735 entity
Predicate spouse P13 FINISHED
Object Norman Chandler 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: Norman Chandler | Statement: [Dorothy Buffum Chandler, spouse, Norman Chandler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norman Chandler
Context triple: [Dorothy Buffum Chandler, spouse, Norman Chandler]
  • A. Norman Chandler
    Norman Chandler was an American newspaper publisher who led the Los Angeles Times to major expansion and influence in the mid-20th century.
  • B. Harry Norman Chandler chosen
    Harry Norman Chandler was an American newspaper publisher who led the Los Angeles Times to major growth and influence in the early to mid-20th century.
  • C. Tom Bradley
    Tom Bradley was a long-serving and influential mayor of Los Angeles who played a key role in the city’s late-20th-century growth and international prominence.
  • D. Tom Bradley
    Tom Bradley is the fictional protagonist of the 1936 film "Desire," around whom the movie’s central romantic and dramatic events revolve.
  • E. John D. Feeley
    John D. Feeley is an American diplomat and former U.S. Marine Corps officer who served as the United States Ambassador to Panama.
  • 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_69e0c4569fa081908101baa24f8745db completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee813fe2108190a4193f69667fe79e completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 5:59 p.m.