Triple
T16097115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Joey Bishop Show |
E390515
|
entity |
| Predicate | alsoStars |
P14987
|
FINISHED |
| Object |
Guy Marks
Guy Marks was an American comedian and character actor known for his appearances on 1960s television sitcoms and variety shows.
|
E1193999
|
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: Guy Marks | Statement: [The Joey Bishop Show, alsoStars, Guy Marks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guy Marks Context triple: [The Joey Bishop Show, alsoStars, Guy Marks]
-
A.
George Marks
George Marks was a film editor known for his work on early American cinema, including the pioneering all-talking feature "Lights of New York."
-
B.
Roy Marples
Roy Marples is a software engineer best known for his work on the OpenRC init system and various networking tools in the Linux and BSD ecosystems.
-
C.
Del James
Del James is an American writer and musician best known for his work with Guns N’ Roses, including short stories that inspired some of the band’s iconic music videos.
-
D.
Lee Boardman
Lee Boardman is a British actor known for his roles in television dramas such as Rome and Coronation Street.
-
E.
Billy Maharg
Billy Maharg was an American gambler and former baseball player best known for his role as a go-between in the 1919 Black Sox World Series fixing scandal.
- 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: Guy Marks Triple: [The Joey Bishop Show, alsoStars, Guy Marks]
Generated description
Guy Marks was an American comedian and character actor known for his appearances on 1960s television sitcoms and variety shows.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guy Marks Target entity description: Guy Marks was an American comedian and character actor known for his appearances on 1960s television sitcoms and variety shows.
-
A.
George Marks
George Marks was a film editor known for his work on early American cinema, including the pioneering all-talking feature "Lights of New York."
-
B.
Roy Marples
Roy Marples is a software engineer best known for his work on the OpenRC init system and various networking tools in the Linux and BSD ecosystems.
-
C.
Del James
Del James is an American writer and musician best known for his work with Guns N’ Roses, including short stories that inspired some of the band’s iconic music videos.
-
D.
Lee Boardman
Lee Boardman is a British actor known for his roles in television dramas such as Rome and Coronation Street.
-
E.
Billy Maharg
Billy Maharg was an American gambler and former baseball player best known for his role as a go-between in the 1919 Black Sox World Series fixing scandal.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e18593d0fc8190aa3ba3edb4219aaa |
completed | April 17, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb991ba88190ad568a49069f9701 |
completed | May 10, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69ffec4898088190bed531e33418c7e5 |
completed | May 10, 2026, 2:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffecce96508190a53f100e3207ebac |
completed | May 10, 2026, 2:26 a.m. |
Created at: April 10, 2026, 4:59 a.m.