Triple

T10150824
Position Surface form Disambiguated ID Type / Status
Subject Security Analysis E232632 entity
Predicate author P4 FINISHED
Object David Dodd E232632 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 Dodd | Statement: [Security Analysis, author, David Dodd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Dodd
Context triple: [Security Analysis, author, David Dodd]
  • A. David Dodd chosen
    David Dodd was an American economist, Columbia Business School professor, and influential co-author of the classic value investing text "Security Analysis."
  • B. David Davis
    David Davis is a British Conservative politician and former Brexit Secretary who played a leading role in the United Kingdom’s withdrawal from the European Union.
  • C. David Davis
    David Davis was an American television producer and writer best known for co-creating influential sitcoms such as The Bob Newhart Show and Taxi.
  • D. David Davis
    David Davis was a 19th-century American jurist and politician who served as an Associate Justice of the U.S. Supreme Court and later as a U.S. Senator from Illinois.
  • E. James J. Rowley
    James J. Rowley was a longtime Director of the United States Secret Service, recognized for modernizing the agency and strengthening presidential protection.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec0584a48190b65daa8370555c27 completed April 2, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbac97ce2481908ea11d6290a9bf2f completed April 12, 2026, 2:30 p.m.
Created at: March 30, 2026, 9:08 p.m.