Triple

T19464933
Position Surface form Disambiguated ID Type / Status
Subject Baer E486968 entity
Predicate hasNotableBearer P458 FINISHED
Object Robert Baer 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: Robert Baer | Statement: [Baer, hasNotableBearer, Robert Baer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Baer
Context triple: [Baer, hasNotableBearer, Robert Baer]
  • A. Robert Baer chosen
    Robert Baer is a former CIA case officer and author known for his memoirs on Middle East espionage and U.S. intelligence, one of which inspired the film "Syriana."
  • B. Tim Weiner
    Tim Weiner is an American journalist and author best known for his Pulitzer Prize-winning reporting and his books on the history of U.S. intelligence agencies.
  • C. Peter Kornbluh
    Peter Kornbluh is an American historian and investigative journalist known for his work on U.S. foreign policy and declassified government documents, particularly regarding Latin America.
  • D. Denis Stone
    Denis Stone is the introspective, somewhat naive young poet who serves as the protagonist and observer of the social satire in Aldous Huxley’s novel "Crome Yellow."
  • E. Peter Scheuer
    Peter Scheuer is a radio astronomer known for his contributions to the development of aperture synthesis and the study of extragalactic radio sources.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633d0fe3c8190b637f78bfad704d0 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:39 p.m.