Triple

T19758200
Position Surface form Disambiguated ID Type / Status
Subject Terrel H. Bell E474556 entity
Predicate givenName P17 FINISHED
Object Terrel
Terrel is a masculine given name, most notably borne by Terrel H. Bell, a former U.S. Secretary of Education.
 E1394583 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: Terrel | Statement: [Terrel H. Bell, givenName, Terrel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Terrel
Context triple: [Terrel H. Bell, givenName, Terrel]
  • A. Terrell
    Terrell is a small city in Kaufman County, Texas, known as an outlying suburb of the Dallas–Fort Worth metropolitan area.
  • B. Terrell
    Terrell is a surname most notably associated with Mary Eliza Church Terrell, a pioneering African American civil rights activist, educator, and suffragist.
  • C. Terrell
    Terrell is a masculine given name most notably associated with American athletes, particularly in professional football and basketball.
  • D. Tarell
    Tarell is a masculine given name most notably borne by American playwright and screenwriter Tarell Alvin McCraney.
  • E. Terrance
    Terrance is the given name of Terrance Dicks, a British writer best known for his work on the television series Doctor Who and its novelizations.
  • 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: Terrel
Triple: [Terrel H. Bell, givenName, Terrel]
Generated description
Terrel is a masculine given name, most notably borne by Terrel H. Bell, a former U.S. Secretary of Education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Terrel
Target entity description: Terrel is a masculine given name, most notably borne by Terrel H. Bell, a former U.S. Secretary of Education.
  • A. Terrell
    Terrell is a small city in Kaufman County, Texas, known as an outlying suburb of the Dallas–Fort Worth metropolitan area.
  • B. Terrell
    Terrell is a surname most notably associated with Mary Eliza Church Terrell, a pioneering African American civil rights activist, educator, and suffragist.
  • C. Terrell
    Terrell is a masculine given name most notably associated with American athletes, particularly in professional football and basketball.
  • D. Tarell
    Tarell is a masculine given name most notably borne by American playwright and screenwriter Tarell Alvin McCraney.
  • E. Terrance
    Terrance is the given name of Terrance Dicks, a British writer best known for his work on the television series Doctor Who and its novelizations.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6531d711c8190996fcf967c39c523 completed April 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07bd69f9a481909c82253039af1ec1 completed May 16, 2026, 12:42 a.m.
NEDg Description generation batch_6a07be1380608190b1efcd97a4bd0c15 completed May 16, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_6a07bfb095b08190a23710cf78a2b923 completed May 16, 2026, 12:52 a.m.
Created at: April 10, 2026, 1:48 p.m.