Triple
T6788787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Funny You Should Ask |
E155879
|
entity |
| Predicate | narrator |
P2181
|
FINISHED |
| Object |
John Cramer
John Cramer is an American voice actor and announcer best known for narrating the comedy game show "Funny You Should Ask."
|
E620810
|
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: John Cramer | Statement: [Funny You Should Ask, narrator, John Cramer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Cramer Context triple: [Funny You Should Ask, narrator, John Cramer]
-
A.
Bryce DeWitt
Bryce DeWitt was an American theoretical physicist known for his pioneering work in quantum gravity and the formulation of the Wheeler–DeWitt equation.
-
B.
John E. Wheeler
John E. Wheeler was an American publisher and businessman best known for establishing the influential Chicago Tribune newspaper.
-
C.
Stephen Coleman
Stephen Coleman is a music producer known for his work on major television soundtracks, including the third season of HBO's Game of Thrones.
-
D.
John W. Wheeler
John W. Wheeler is a film editor best known for his work on major Hollywood productions, including the boxing sequel "Rocky IV."
-
E.
Niven Busch
Niven Busch was an American novelist and screenwriter known for his work on hardboiled crime and film noir adaptations in Hollywood’s classic era.
- 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: John Cramer Triple: [Funny You Should Ask, narrator, John Cramer]
Generated description
John Cramer is an American voice actor and announcer best known for narrating the comedy game show "Funny You Should Ask."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Cramer Target entity description: John Cramer is an American voice actor and announcer best known for narrating the comedy game show "Funny You Should Ask."
-
A.
Bryce DeWitt
Bryce DeWitt was an American theoretical physicist known for his pioneering work in quantum gravity and the formulation of the Wheeler–DeWitt equation.
-
B.
John E. Wheeler
John E. Wheeler was an American publisher and businessman best known for establishing the influential Chicago Tribune newspaper.
-
C.
Stephen Coleman
Stephen Coleman is a music producer known for his work on major television soundtracks, including the third season of HBO's Game of Thrones.
-
D.
John W. Wheeler
John W. Wheeler is a film editor best known for his work on major Hollywood productions, including the boxing sequel "Rocky IV."
-
E.
Niven Busch
Niven Busch was an American novelist and screenwriter known for his work on hardboiled crime and film noir adaptations in Hollywood’s classic era.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2aa2e0c8190b994261826ae001d |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a8998408190b741417ce6f21f55 |
completed | March 28, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69c71e2ad0b08190a24f8865b8074b35 |
completed | March 28, 2026, 12:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71e9ec7148190a5f1df4951990f64 |
completed | March 28, 2026, 12:19 a.m. |
Created at: March 27, 2026, 2:14 p.m.