Triple

T3742097
Position Surface form Disambiguated ID Type / Status
Subject Walter Bedell Smith E79724 entity
Predicate middleName P143 FINISHED
Object Bedell E79724 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: Bedell | Statement: [Walter Bedell Smith, middleName, Bedell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bedell
Context triple: [Walter Bedell Smith, middleName, Bedell]
  • A. Bedell chosen
    Bedell is the distinctive middle name of Walter Bedell Smith, a prominent U.S. Army general and diplomat who served as Dwight D. Eisenhower’s chief of staff during World War II and later as Director of Central Intelligence.
  • B. Stringer Bell
    Stringer Bell is a central character in the television series "The Wire," a calculating drug kingpin who studies business and economics to run his criminal organization like a legitimate enterprise.
  • C. Baney
    Baney is a small town and district capital located on Bioko Island in Equatorial Guinea.
  • D. Daboll
    Daboll is a surname most prominently associated with Brian Daboll, a professional American football coach in the National Football League.
  • E. Wilmot Reed
    Wilmot Reed is the given first and middle name of Reed Hastings, the American entrepreneur best known as the co-founder and former CEO of Netflix.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb563fac8190b6a55580d0386e8a completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db26adbc8190becd03db70e63112 completed March 14, 2026, 3:51 a.m.
Created at: March 8, 2026, 3:34 p.m.