Triple

T4145966
Position Surface form Disambiguated ID Type / Status
Subject Phil Bryant E89382 entity
Predicate givenName P17 FINISHED
Object Dewey Phillip
Dewey Phillip is the full given name of Phil Bryant, the American politician who served as the 64th governor of Mississippi.
E414800 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: Dewey Phillip | Statement: [Phil Bryant, givenName, Dewey Phillip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dewey Phillip
Context triple: [Phil Bryant, givenName, Dewey Phillip]
  • A. Joseph Aloysius Dwan
    Joseph Aloysius Dwan, better known as Allan Dwan, was a pioneering Canadian-born American film director and producer active from the silent era through the golden age of Hollywood.
  • B. Randolph Fields
    Randolph Fields was a British-American lawyer and entrepreneur best known for co-founding the airline that became Virgin Atlantic Airways.
  • C. David Dill
    David Dill is an American computer scientist known for his influential work in formal verification, model checking, and hardware verification.
  • D. Willard Motley
    Willard Motley was an African American novelist best known for his gritty depictions of urban life in mid-20th-century Chicago.
  • E. Marshall LaCount
    Marshall LaCount is a musician best known for his work as a member of the indie supergroup Gayngs.
  • 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: Dewey Phillip
Triple: [Phil Bryant, givenName, Dewey Phillip]
Generated description
Dewey Phillip is the full given name of Phil Bryant, the American politician who served as the 64th governor of Mississippi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dewey Phillip
Target entity description: Dewey Phillip is the full given name of Phil Bryant, the American politician who served as the 64th governor of Mississippi.
  • A. Joseph Aloysius Dwan
    Joseph Aloysius Dwan, better known as Allan Dwan, was a pioneering Canadian-born American film director and producer active from the silent era through the golden age of Hollywood.
  • B. Randolph Fields
    Randolph Fields was a British-American lawyer and entrepreneur best known for co-founding the airline that became Virgin Atlantic Airways.
  • C. David Dill
    David Dill is an American computer scientist known for his influential work in formal verification, model checking, and hardware verification.
  • D. Willard Motley
    Willard Motley was an African American novelist best known for his gritty depictions of urban life in mid-20th-century Chicago.
  • E. Marshall LaCount
    Marshall LaCount is a musician best known for his work as a member of the indie supergroup Gayngs.
  • 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_69aed95785788190ae75bcf0cd1cafdf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af025fef088190b42515d0a854a1ae completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576d5379081908300afbb3a6fe5e4 completed March 14, 2026, 2:55 p.m.
NEDg Description generation batch_69b577c2b784819096d8218dd1c1478d completed March 14, 2026, 2:59 p.m.
NED2 Entity disambiguation (via description) batch_69b5782cc448819080e306952da24ac0 completed March 14, 2026, 3:01 p.m.
Created at: March 9, 2026, 3:43 p.m.