Triple

T10525632
Position Surface form Disambiguated ID Type / Status
Subject Dave Lyons E248296 entity
Predicate friendOf P8712 FINISHED
Object Wally Karue
Wally Karue is a comedic character portrayed by Richard Pryor in the 1989 film "See No Evil, Hear No Evil."
E248295 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: Wally Karue | Statement: [Dave Lyons, friendOf, Wally Karue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wally Karue
Context triple: [Dave Lyons, friendOf, Wally Karue]
  • A. Wally Karue
    Wally Karue is a comedic character portrayed by Richard Pryor in the 1989 buddy comedy film "See No Evil, Hear No Evil."
  • B. Wally Figg
    Wally Figg is a down-on-his-luck, ethically flexible lawyer who becomes a central figure in John Grisham’s legal thriller "The Litigators."
  • C. Wally Lemm
    Wally Lemm was an American football coach best known for leading the Houston Oilers to success in the early 1960s, including an AFL championship.
  • D. Wally Romanes
    Wally Romanes is a mountaineer known for being part of the team that made the first ascent of the Himalayan peak Thamserku.
  • E. Wally Badarou
    Wally Badarou is a French musician, composer, and producer best known for his influential session work in the 1980s and collaborations across pop, funk, and world music.
  • 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: Wally Karue
Triple: [Dave Lyons, friendOf, Wally Karue]
Generated description
Wally Karue is a comedic character portrayed by Richard Pryor in the 1989 film "See No Evil, Hear No Evil."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wally Karue
Target entity description: Wally Karue is a comedic character portrayed by Richard Pryor in the 1989 film "See No Evil, Hear No Evil."
  • A. Wally Karue chosen
    Wally Karue is a comedic character portrayed by Richard Pryor in the 1989 buddy comedy film "See No Evil, Hear No Evil."
  • B. Wally Figg
    Wally Figg is a down-on-his-luck, ethically flexible lawyer who becomes a central figure in John Grisham’s legal thriller "The Litigators."
  • C. Wally Lemm
    Wally Lemm was an American football coach best known for leading the Houston Oilers to success in the early 1960s, including an AFL championship.
  • D. Wally Romanes
    Wally Romanes is a mountaineer known for being part of the team that made the first ascent of the Himalayan peak Thamserku.
  • E. Wally Badarou
    Wally Badarou is a French musician, composer, and producer best known for his influential session work in the 1980s and collaborations across pop, funk, and world music.
  • F. None of above.

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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509f4bbe88190bce7789a56c85671 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a05ffdc8190a69b39c807a06042 completed April 10, 2026, 10:30 p.m.
NEDg Description generation batch_69d97cc07100819088683a0d79b2baa0 completed April 10, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69d97e015b088190a97822675eecaa5a completed April 10, 2026, 10:47 p.m.
Created at: April 6, 2026, 12:29 p.m.