Triple
T5582323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maclisp |
E146667
|
entity |
| Predicate | notablePerson |
P304
|
FINISHED |
| Object |
Jon L. White
Jon L. White was a computer scientist best known for his significant contributions to the development and implementation of the Maclisp programming language.
|
E544823
|
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: Jon L. White | Statement: [Maclisp, notablePerson, Jon L. White]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon L. White Context triple: [Maclisp, notablePerson, Jon L. White]
-
A.
Jason Ritter
Jason Ritter is an American actor known for his work in film and television, including roles in series like "Parenthood" and "Joan of Arcadia."
-
B.
Seth Gabel
Seth Gabel is an American actor known for his roles in television series such as "Fringe," "Salem," and "Nip/Tuck."
-
C.
Eric Bauza
Eric Bauza is a Canadian voice actor and comedian best known for portraying iconic animated characters in modern Looney Tunes productions.
-
D.
Jason Shuman
Jason Shuman is a film and television producer known for his work on projects such as the sports drama series "Winning Time: The Rise of the Lakers Dynasty."
-
E.
Scott Oake
Scott Oake is a Canadian sportscaster best known for his long-running work as a rinkside reporter and host on national hockey broadcasts.
- 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: Jon L. White Triple: [Maclisp, notablePerson, Jon L. White]
Generated description
Jon L. White was a computer scientist best known for his significant contributions to the development and implementation of the Maclisp programming language.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jon L. White Target entity description: Jon L. White was a computer scientist best known for his significant contributions to the development and implementation of the Maclisp programming language.
-
A.
Jason Ritter
Jason Ritter is an American actor known for his work in film and television, including roles in series like "Parenthood" and "Joan of Arcadia."
-
B.
Seth Gabel
Seth Gabel is an American actor known for his roles in television series such as "Fringe," "Salem," and "Nip/Tuck."
-
C.
Eric Bauza
Eric Bauza is a Canadian voice actor and comedian best known for portraying iconic animated characters in modern Looney Tunes productions.
-
D.
Jason Shuman
Jason Shuman is a film and television producer known for his work on projects such as the sports drama series "Winning Time: The Rise of the Lakers Dynasty."
-
E.
Scott Oake
Scott Oake is a Canadian sportscaster best known for his long-running work as a rinkside reporter and host on national hockey broadcasts.
- 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0208333f08190bf0049b6bdd280f5 |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07d85e478819087502c3927997363 |
completed | March 22, 2026, 11:38 p.m. |
| NEDg | Description generation | batch_69c08d238384819089104f5c778ec315 |
completed | March 23, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c08dac9eec8190996f6c537777801b |
completed | March 23, 2026, 12:47 a.m. |
Created at: March 22, 2026, 3:37 p.m.