Triple

T16695017
Position Surface form Disambiguated ID Type / Status
Subject To Catch a Thief E405691 entity
Predicate author P4 FINISHED
Object David Dodge E405691 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: David Dodge | Statement: [To Catch a Thief, author, David Dodge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Dodge
Context triple: [To Catch a Thief, author, David Dodge]
  • A. David Dodge
    David Dodge is a Canadian economist and public servant best known for serving as Governor of the Bank of Canada from 2001 to 2008.
  • B. David Dodge chosen
    David Dodge was an American novelist best known for his mid-20th-century crime and adventure novels, including the book that inspired Alfred Hitchcock’s film "To Catch a Thief."
  • C. David Todd
    David Todd was a 19th-century American lawyer and politician from Kentucky, best known as a member of the prominent Todd family that included Mary Todd Lincoln.
  • D. Philip Dimmitt
    Philip Dimmitt was a Texian military and political leader during the Texas Revolution, noted for his prominent role in early revolutionary activities and command responsibilities.
  • E. William Dodge Jr.
    William Dodge Jr. was the husband of American children's author and editor Mary Mapes Dodge, known for her classic novel "Hans Brinker, or The Silver Skates."
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37eacfa788190a8d2058f96c0d445 completed April 18, 2026, 12:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d36aa90819090b738c1c94dcb9f completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:19 a.m.