Triple
T19833039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Card Sharks |
E476509
|
entity |
| Predicate | host |
P2592
|
FINISHED |
| Object |
Jim Perry
Jim Perry was an American television game show host best known for his charismatic work on popular series in the 1970s and 1980s.
|
E1397564
|
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: Jim Perry | Statement: [Card Sharks, host, Jim Perry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Perry Context triple: [Card Sharks, host, Jim Perry]
-
A.
Tony Perry
Tony Perry is known primarily as the son of Aerosmith guitarist Joe Perry.
-
B.
Pat Patterson
Pat Patterson was a pioneering professional wrestler and influential WWE producer best known for his innovative match concepts and trailblazing role in the industry.
-
C.
Jimmy Perry
Jimmy Perry was a British television writer and producer best known as the co-creator of the classic sitcom "Dad's Army."
-
D.
Chuck Woolery
Chuck Woolery is an American television personality best known as a longtime game show host on programs such as Wheel of Fortune and Love Connection.
-
E.
Richard Belzer
Richard Belzer was an American stand-up comedian and actor best known for his long-running portrayal of Detective John Munch across multiple television series, including Homicide: Life on the Street and Law & Order: SVU.
- 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: Jim Perry Triple: [Card Sharks, host, Jim Perry]
Generated description
Jim Perry was an American television game show host best known for his charismatic work on popular series in the 1970s and 1980s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jim Perry Target entity description: Jim Perry was an American television game show host best known for his charismatic work on popular series in the 1970s and 1980s.
-
A.
Tony Perry
Tony Perry is known primarily as the son of Aerosmith guitarist Joe Perry.
-
B.
Pat Patterson
Pat Patterson was a pioneering professional wrestler and influential WWE producer best known for his innovative match concepts and trailblazing role in the industry.
-
C.
Jimmy Perry
Jimmy Perry was a British television writer and producer best known as the co-creator of the classic sitcom "Dad's Army."
-
D.
Chuck Woolery
Chuck Woolery is an American television personality best known as a longtime game show host on programs such as Wheel of Fortune and Love Connection.
-
E.
Richard Belzer
Richard Belzer was an American stand-up comedian and actor best known for his long-running portrayal of Detective John Munch across multiple television series, including Homicide: Life on the Street and Law & Order: SVU.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cf7e488190b4be28b5e7b363bf |
completed | April 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ccd9b71c81909002a92d0e826510 |
completed | May 16, 2026, 1:48 a.m. |
| NEDg | Description generation | batch_6a07cfa7121881908e3256a035f0fffb |
completed | May 16, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d0aacc1481908f9b4d96ce34d88b |
completed | May 16, 2026, 2:04 a.m. |
Created at: April 10, 2026, 1:50 p.m.