Triple

T7974379
Position Surface form Disambiguated ID Type / Status
Subject Dickie Greenleaf E185406 entity
Predicate portrayedBy P1507 FINISHED
Object Billy Kearns
Billy Kearns was an American character actor known for his supporting roles in mid-20th-century film and television.
 E706065 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: Billy Kearns | Statement: [Dickie Greenleaf, portrayedBy, Billy Kearns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Billy Kearns
Context triple: [Dickie Greenleaf, portrayedBy, Billy Kearns]
  • A. Stephen Kearney
    Stephen Kearney is a former New Zealand international rugby league forward who became a prominent coach, including leading the Kiwis to major international success.
  • B. Ben Cullum
    Ben Cullum is a British musician and producer best known for his work in jazz and pop and for collaborating closely with his brother, singer-pianist Jamie Cullum.
  • C. Ken Kershaw
    Ken Kershaw is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Kershaw.
  • D. John Kibler
    John Kibler was a longtime Major League Baseball umpire best known for serving as crew chief during the 1986 World Series.
  • E. Larry Keigwin
    Larry Keigwin is an American contemporary choreographer and founder of KEIGWIN + COMPANY, known for his witty, theatrical, and highly physical dance works.
  • 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: Billy Kearns
Triple: [Dickie Greenleaf, portrayedBy, Billy Kearns]
Generated description
Billy Kearns was an American character actor known for his supporting roles in mid-20th-century film and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Billy Kearns
Target entity description: Billy Kearns was an American character actor known for his supporting roles in mid-20th-century film and television.
  • A. Stephen Kearney
    Stephen Kearney is a former New Zealand international rugby league forward who became a prominent coach, including leading the Kiwis to major international success.
  • B. Ben Cullum
    Ben Cullum is a British musician and producer best known for his work in jazz and pop and for collaborating closely with his brother, singer-pianist Jamie Cullum.
  • C. Ken Kershaw
    Ken Kershaw is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Kershaw.
  • D. John Kibler
    John Kibler was a longtime Major League Baseball umpire best known for serving as crew chief during the 1986 World Series.
  • E. Larry Keigwin
    Larry Keigwin is an American contemporary choreographer and founder of KEIGWIN + COMPANY, known for his witty, theatrical, and highly physical dance works.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf319648190a900b133d58bd02b completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56710dd0819084da3898cb0933b0 completed March 31, 2026, 11:19 p.m.
NEDg Description generation batch_69cc582333088190a763354783629a5a completed March 31, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_69cc58f7dd948190bb8a0e88da8d281f completed March 31, 2026, 11:30 p.m.
Created at: March 30, 2026, 5:14 p.m.