Triple
T10525612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wally Karue |
E248295
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object |
Wally Karue
Wally Karue is an individual whose specific public background or notable achievements are not widely documented.
|
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: [Wally Karue, hasName, Wally Karue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wally Karue Context triple: [Wally Karue, hasName, 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: [Wally Karue, hasName, Wally Karue]
Generated description
Wally Karue is an individual whose specific public background or notable achievements are not widely documented.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wally Karue Target entity description: Wally Karue is an individual whose specific public background or notable achievements are not widely documented.
-
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_69d90e26c4908190b77d73c11bee6119 |
completed | April 10, 2026, 2:50 p.m. |
| NEDg | Description generation | batch_69d9107e8b94819086ebba1675a0db54 |
completed | April 10, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d911a16b1481909197b00c30de48c4 |
completed | April 10, 2026, 3:05 p.m. |
Created at: April 6, 2026, 12:29 p.m.