Triple

T14803869
Position Surface form Disambiguated ID Type / Status
Subject Roger Baldwin E347979 entity
Predicate name P16 FINISHED
Object Roger Nash Baldwin E61136 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: Roger Nash Baldwin | Statement: [Roger Baldwin, name, Roger Nash Baldwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roger Nash Baldwin
Context triple: [Roger Baldwin, name, Roger Nash Baldwin]
  • A. Roger Nash Baldwin chosen
    Roger Nash Baldwin was an American civil liberties advocate and social reformer best known as a principal founder and long-time leader of the American Civil Liberties Union (ACLU).
  • B. Clarence Kolb
    Clarence Kolb was an American vaudeville and film actor best known for his comic character roles in Hollywood movies of the 1930s and 1940s.
  • C. Clarence Bloomfield Moore
    Clarence Bloomfield Moore was an American archaeologist and antiquarian known for his extensive excavations of Native American mound sites in the southeastern United States during the late 19th and early 20th centuries.
  • D. Thomas Mayne
    Thomas Mayne was an Australian food scientist best known for creating the chocolate malted milk drink Milo in the 1930s.
  • E. Sidney A. Franklin
    Sidney A. Franklin was an American film director and producer best known for his work during Hollywood’s classical era, including several acclaimed literary adaptations.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf30d044819082ac038e06481aab completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24c4f690819087504fcfd2df8ba3 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:34 a.m.