Triple

T20919701
Position Surface form Disambiguated ID Type / Status
Subject Autobiography of Shelby M. Cullom E515172 entity
Predicate mainSubject P3 FINISHED
Object Shelby M. Cullom 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: Shelby M. Cullom | Statement: [Autobiography of Shelby M. Cullom, mainSubject, Shelby M. Cullom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shelby M. Cullom
Context triple: [Autobiography of Shelby M. Cullom, mainSubject, Shelby M. Cullom]
  • A. Shelby Moore Cullom chosen
    Shelby Moore Cullom was an American politician who served as governor of Illinois and later as a long-serving U.S. senator in the late 19th and early 20th centuries.
  • B. Donna W. Scott
    Donna W. Scott is an American actress and former model best known for her work in film and television and for being married to late director Tony Scott.
  • C. Laurie S. Fulton
    Laurie S. Fulton is an American attorney and diplomat who served as U.S. Ambassador to Denmark from 2009 to 2013.
  • D. Terilyn A. Shropshire
    Terilyn A. Shropshire is an American film editor known for her work on numerous acclaimed films and television projects.
  • E. Amy E. Duddleston
    Amy E. Duddleston is an American film editor known for her work on major studio features and acclaimed television series.
  • 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_69e0b4f9d5ec8190bb2bd27350ed341c completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6ec66593c819091ecf0c553e0aead completed April 21, 2026, 3:17 a.m.
Created at: April 16, 2026, 12:48 p.m.