Triple

T2077058
Position Surface form Disambiguated ID Type / Status
Subject Arthur Miller E44946 entity
Predicate parent P120 FINISHED
Object Isidore Miller E118168 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: Isidore Miller | Statement: [Arthur Miller, parent, Isidore Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isidore Miller
Context triple: [Arthur Miller, parent, Isidore Miller]
  • A. Isidore Miller chosen
    Isidore Miller was the father of American playwright Arthur Miller and a New York-based clothing manufacturer whose business was devastated by the Great Depression.
  • B. Eugene Miller
    Eugene Miller was a screenwriter best known for his work on classic Hollywood films such as "The Mark of Zorro."
  • C. Edwin Blashfield
    Edwin Blashfield was an American muralist and painter best known for his large-scale allegorical works in prominent public buildings across the United States.
  • D. Millard Mitchell
    Millard Mitchell was an American character actor known for his supporting roles in classic Hollywood films of the 1940s and 1950s.
  • E. Sidney Verba
    Sidney Verba was a prominent American political scientist renowned for his pioneering work on political participation, comparative politics, and civic culture.
  • 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_69a88916c2b48190a5ca2e9b12cad3ed completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba2fa9c48190958826d5226544df completed March 7, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69af175e79d881909390ae71cceb6db2 completed March 9, 2026, 6:54 p.m.
Created at: March 4, 2026, 7:41 p.m.