Triple

T20152122
Position Surface form Disambiguated ID Type / Status
Subject David Madison Cawthorn E491457 entity
Predicate givenName P17 FINISHED
Object David Madison 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: David Madison | Statement: [David Madison Cawthorn, givenName, David Madison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Madison
Context triple: [David Madison Cawthorn, givenName, David Madison]
  • A. David Madison chosen
    David Madison is the given first name of Madison Cawthorn, an American politician and former U.S. Representative from North Carolina.
  • B. James Madison
    James Madison was the fourth president of the United States and a key architect of the U.S. Constitution and Bill of Rights.
  • C. John Madison
    John Madison is a notable individual who shares the Madison surname, which is historically associated with prominent American political figures.
  • D. Harry Monroe
    Harry Monroe is a hapless yet endearing character portrayed by Richard Pryor in the 1980 comedy film "Stir Crazy," where he and his friend are wrongfully imprisoned and embroiled in a series of comedic misadventures.
  • E. George Madison
    George Madison was an American soldier and politician who served as the sixth governor of Kentucky in the early 19th century.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667dc34e081908e42e4c1bde26170 completed April 20, 2026, 5:52 p.m.
Created at: April 11, 2026, 11:33 p.m.