Triple

T512940
Position Surface form Disambiguated ID Type / Status
Subject Cordell Hull E10645 entity
Predicate givenName P17 FINISHED
Object Cordell
Cordell is a masculine given name most notably borne by Cordell Hull, the long-serving U.S. Secretary of State and Nobel Peace Prize laureate.
 E63849 NE FINISHED

How this triple was built (4 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: Cordell | Statement: [Cordell Hull, givenName, Cordell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cordell
Context triple: [Cordell Hull, givenName, Cordell]
  • A. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • B. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • C. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • D. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • E. Richardson
    Richardson is a suburban city in the Dallas–Fort Worth metropolitan area known for its telecommunications industry and the University of Texas at Dallas.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cordell
Triple: [Cordell Hull, givenName, Cordell]
Generated description
Cordell is a masculine given name most notably borne by Cordell Hull, the long-serving U.S. Secretary of State and Nobel Peace Prize laureate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cordell
Target entity description: Cordell is a masculine given name most notably borne by Cordell Hull, the long-serving U.S. Secretary of State and Nobel Peace Prize laureate.
  • A. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • B. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • C. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • D. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • E. Richardson
    Richardson is a suburban city in the Dallas–Fort Worth metropolitan area known for its telecommunications industry and the University of Texas at Dallas.
  • F. None of above. chosen

Provenance (5 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1804e908190a1d34ac952e84a3f completed Feb. 28, 2026, 1:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a49ebe662c8190acdbb8857283f7d1 completed March 1, 2026, 8:17 p.m.
NEDg Description generation batch_69a49fcbcae88190acc3e9d61658beba completed March 1, 2026, 8:21 p.m.
NED2 Entity disambiguation (via description) batch_69a4a047b8548190ac9ba95983b06036 completed March 1, 2026, 8:23 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.