Triple
T18660302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bing Crosby Show |
E456174
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Bing Collins
Bing Collins is a fictional character from the classic American television sitcom "The Bing Crosby Show."
|
E1335934
|
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: Bing Collins | Statement: [The Bing Crosby Show, character, Bing Collins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bing Collins Context triple: [The Bing Crosby Show, character, Bing Collins]
-
A.
Chick Collins
Chick Collins is an actor known for his role in the film "Crashing Towers."
-
B.
J. C. Collins
J. C. Collins is a notable individual distinguished enough to be specifically recognized among people sharing the surname Collins.
-
C.
Kim Boggs
Kim Boggs is the compassionate teenage girl who becomes Edward’s love interest and moral anchor in the fantasy film "Edward Scissorhands."
-
D.
Leon Barmore
Leon Barmore is a legendary women's college basketball coach best known for leading the Louisiana Tech Lady Techsters to national prominence and multiple NCAA championships.
-
E.
Jack Bicknell
Jack Bicknell is an American football coach best known for leading Boston College to national prominence in the 1980s, including the famed Doug Flutie era and the 1984 Cotton Bowl victory.
- 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: Bing Collins Triple: [The Bing Crosby Show, character, Bing Collins]
Generated description
Bing Collins is a fictional character from the classic American television sitcom "The Bing Crosby Show."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bing Collins Target entity description: Bing Collins is a fictional character from the classic American television sitcom "The Bing Crosby Show."
-
A.
Chick Collins
Chick Collins is an actor known for his role in the film "Crashing Towers."
-
B.
J. C. Collins
J. C. Collins is a notable individual distinguished enough to be specifically recognized among people sharing the surname Collins.
-
C.
Kim Boggs
Kim Boggs is the compassionate teenage girl who becomes Edward’s love interest and moral anchor in the fantasy film "Edward Scissorhands."
-
D.
Leon Barmore
Leon Barmore is a legendary women's college basketball coach best known for leading the Louisiana Tech Lady Techsters to national prominence and multiple NCAA championships.
-
E.
Jack Bicknell
Jack Bicknell is an American football coach best known for leading Boston College to national prominence in the 1980s, including the famed Doug Flutie era and the 1984 Cotton Bowl victory.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5508a30248190abdb51e345168849 |
completed | April 19, 2026, 10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a051724da8881909e065ba1069ecb6c |
completed | May 14, 2026, 12:28 a.m. |
| NEDg | Description generation | batch_6a05193f4cbc8190a0f7bb3fc5247f31 |
completed | May 14, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0519d38a508190bdcfb402f9f75b16 |
completed | May 14, 2026, 12:39 a.m. |
Created at: April 10, 2026, 11:48 a.m.