Triple

T2501643
Position Surface form Disambiguated ID Type / Status
Subject Sharp E52476 entity
Predicate hasNotableBearer P458 FINISHED
Object John Sharp (politician)
John Sharp is an American politician and former Texas state comptroller who later became chancellor of the Texas A&M University System.
 E272151 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: John Sharp (politician) | Statement: [Sharp, hasNotableBearer, John Sharp (politician)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Sharp (politician)
Context triple: [Sharp, hasNotableBearer, John Sharp (politician)]
  • A. Jeff Sharp
    Jeff Sharp is a film producer known for his work on independent and literary adaptation projects in American cinema.
  • B. Paul Givan
    Paul Givan is a Democratic Unionist Party politician who served as First Minister of Northern Ireland.
  • C. Donald Meek
    Donald Meek was a Scottish-born American character actor known for his distinctive, mild-mannered roles in numerous Hollywood films of the 1930s and 1940s.
  • D. Gabriel Almond
    Gabriel Almond was an influential American political scientist known for his work on comparative politics and political culture.
  • E. Bill Gillespie
    Bill Gillespie is the white, small-town Mississippi police chief whose uneasy but evolving partnership with Black detective Virgil Tibbs drives the racial and social tensions at the heart of "In the Heat of the Night."
  • 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: John Sharp (politician)
Triple: [Sharp, hasNotableBearer, John Sharp (politician)]
Generated description
John Sharp is an American politician and former Texas state comptroller who later became chancellor of the Texas A&M University System.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Sharp (politician)
Target entity description: John Sharp is an American politician and former Texas state comptroller who later became chancellor of the Texas A&M University System.
  • A. Jeff Sharp
    Jeff Sharp is a film producer known for his work on independent and literary adaptation projects in American cinema.
  • B. Paul Givan
    Paul Givan is a Democratic Unionist Party politician who served as First Minister of Northern Ireland.
  • C. Donald Meek
    Donald Meek was a Scottish-born American character actor known for his distinctive, mild-mannered roles in numerous Hollywood films of the 1930s and 1940s.
  • D. Gabriel Almond
    Gabriel Almond was an influential American political scientist known for his work on comparative politics and political culture.
  • E. Bill Gillespie
    Bill Gillespie is the white, small-town Mississippi police chief whose uneasy but evolving partnership with Black detective Virgil Tibbs drives the racial and social tensions at the heart of "In the Heat of the Night."
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1c9f80c8190b40ada396e184e75 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1fa34dc8819085681d673e45d841 completed March 9, 2026, 7:29 p.m.
NEDg Description generation batch_69af2031a64c819080b1c4a3b941d84c completed March 9, 2026, 7:32 p.m.
NED2 Entity disambiguation (via description) batch_69af20bf8e488190ac79327042d47853 completed March 9, 2026, 7:34 p.m.
Created at: March 6, 2026, 9:46 p.m.