Triple
T13236094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Send Me No Flowers |
E315149
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
George Kimball
George Kimball is a hypochondriac suburban husband whose mistaken belief that he is terminally ill drives the comedic misunderstandings in the film "Send Me No Flowers."
|
E1037351
|
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: George Kimball | Statement: [Send Me No Flowers, mainCharacter, George Kimball]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Kimball Context triple: [Send Me No Flowers, mainCharacter, George Kimball]
-
A.
John Kimball
John Kimball is a sports executive who serves as the president of Major League Soccer club Real Salt Lake.
-
B.
Ross Kimball
Ross Kimball is an American actor and comedian best known for his supporting role in the heist comedy film "Masterminds."
-
C.
John Hampson
John Hampson was the husband of renowned German actress Therese Giehse.
-
D.
Albert Kelsey
Albert Kelsey was an American architect known for his Beaux-Arts–influenced civic and institutional buildings in the early 20th century.
-
E.
Frank Pembleton
Frank Pembleton is a brilliant, intense, and morally driven homicide detective from the television series "Homicide: Life on the Street."
- 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: George Kimball Triple: [Send Me No Flowers, mainCharacter, George Kimball]
Generated description
George Kimball is a hypochondriac suburban husband whose mistaken belief that he is terminally ill drives the comedic misunderstandings in the film "Send Me No Flowers."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: George Kimball Target entity description: George Kimball is a hypochondriac suburban husband whose mistaken belief that he is terminally ill drives the comedic misunderstandings in the film "Send Me No Flowers."
-
A.
John Kimball
John Kimball is a sports executive who serves as the president of Major League Soccer club Real Salt Lake.
-
B.
Ross Kimball
Ross Kimball is an American actor and comedian best known for his supporting role in the heist comedy film "Masterminds."
-
C.
John Hampson
John Hampson was the husband of renowned German actress Therese Giehse.
-
D.
Albert Kelsey
Albert Kelsey was an American architect known for his Beaux-Arts–influenced civic and institutional buildings in the early 20th century.
-
E.
Frank Pembleton
Frank Pembleton is a brilliant, intense, and morally driven homicide detective from the television series "Homicide: Life on the Street."
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d56da008190af55da3a9e7ffd4d |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72664b9a48190a76e0c3dfaaf3d7a |
completed | May 3, 2026, 10:41 a.m. |
| NEDg | Description generation | batch_69f72a6fdf7c8190a2345e6771228968 |
completed | May 3, 2026, 10:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f72ac6b4688190a2052a44b445b14b |
completed | May 3, 2026, 11 a.m. |
Created at: April 9, 2026, 9:22 p.m.