Triple

T2026889
Position Surface form Disambiguated ID Type / Status
Subject Parker E44427 entity
Predicate hasNotableBearer P458 FINISHED
Object Joel Parker
Joel Parker is a name shared by several notable individuals, including historical American politicians and jurists.
E235667 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: Joel Parker | Statement: [Parker, hasNotableBearer, Joel Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joel Parker
Context triple: [Parker, hasNotableBearer, Joel Parker]
  • A. Joel Aldrich Matteson
    Joel Aldrich Matteson was a 19th-century American politician who served as governor of Illinois.
  • B. Joel Allen
    Joel Allen is an American actor best known for his starring role in the television adaptation of the horror franchise "The Purge."
  • C. Joel Cox
    Joel Cox is an American film editor best known for his long-time collaboration with director Clint Eastwood on numerous acclaimed movies.
  • D. Connor Jessup
    Connor Jessup is a Canadian actor and filmmaker best known for his roles in the TV series "Falling Skies" and "Locke & Key."
  • E. Nate Heller
    Nate Heller is a film composer and songwriter known for his emotionally resonant scores for movies such as "A Beautiful Day in the Neighborhood" and "Can You Ever Forgive Me?".
  • 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: Joel Parker
Triple: [Parker, hasNotableBearer, Joel Parker]
Generated description
Joel Parker is a name shared by several notable individuals, including historical American politicians and jurists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Joel Parker
Target entity description: Joel Parker is a name shared by several notable individuals, including historical American politicians and jurists.
  • A. Joel Aldrich Matteson
    Joel Aldrich Matteson was a 19th-century American politician who served as governor of Illinois.
  • B. Joel Allen
    Joel Allen is an American actor best known for his starring role in the television adaptation of the horror franchise "The Purge."
  • C. Joel Cox
    Joel Cox is an American film editor best known for his long-time collaboration with director Clint Eastwood on numerous acclaimed movies.
  • D. Connor Jessup
    Connor Jessup is a Canadian actor and filmmaker best known for his roles in the TV series "Falling Skies" and "Locke & Key."
  • E. Nate Heller
    Nate Heller is a film composer and songwriter known for his emotionally resonant scores for movies such as "A Beautiful Day in the Neighborhood" and "Can You Ever Forgive Me?".
  • 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_69a889144f2481909932f0746a93023d completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb91055d88190a980e7b42e5895d4 completed March 7, 2026, 5:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae517e7c2481909d2840a734eed96b completed March 9, 2026, 4:50 a.m.
NEDg Description generation batch_69ae51e8aaa48190919397831d46db23 completed March 9, 2026, 4:51 a.m.
NED2 Entity disambiguation (via description) batch_69ae526dd8608190baefb3101884c83f completed March 9, 2026, 4:54 a.m.
Created at: March 4, 2026, 7:38 p.m.