Triple
T17048631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishop's Cleeve |
E413635
|
entity |
| Predicate | footballClubPlaysAt |
P13649
|
FINISHED |
| Object |
Kayte Lane
Kayte Lane is a football ground in Bishop's Cleeve, England, serving as the home venue for Bishop's Cleeve Football Club.
|
E1258852
|
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: Kayte Lane | Statement: [Bishop's Cleeve, footballClubPlaysAt, Kayte Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kayte Lane Context triple: [Bishop's Cleeve, footballClubPlaysAt, Kayte Lane]
-
A.
Jennifer Kaytin Robinson
Jennifer Kaytin Robinson is an American screenwriter and director known for her work in film and television, including co-writing the Marvel Studios film "Thor: Love and Thunder."
-
B.
Corinne Kingsbury
Corinne Kingsbury is an American television writer and producer known for creating the series "In the Dark" and "Fam."
-
C.
Kayte Walsh
Kayte Walsh is a British former flight attendant who is best known as the wife of American actor Kelsey Grammer.
-
D.
Maria Clements
Maria Clements was the wife of American film and television actor Stanley Clements.
-
E.
Claire Keesey
Claire Keesey is a Boston bank manager who becomes romantically involved with a career criminal, unaware of his role in the heist that traumatized her, in the film "The Town."
- 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: Kayte Lane Triple: [Bishop's Cleeve, footballClubPlaysAt, Kayte Lane]
Generated description
Kayte Lane is a football ground in Bishop's Cleeve, England, serving as the home venue for Bishop's Cleeve Football Club.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kayte Lane Target entity description: Kayte Lane is a football ground in Bishop's Cleeve, England, serving as the home venue for Bishop's Cleeve Football Club.
-
A.
Jennifer Kaytin Robinson
Jennifer Kaytin Robinson is an American screenwriter and director known for her work in film and television, including co-writing the Marvel Studios film "Thor: Love and Thunder."
-
B.
Corinne Kingsbury
Corinne Kingsbury is an American television writer and producer known for creating the series "In the Dark" and "Fam."
-
C.
Kayte Walsh
Kayte Walsh is a British former flight attendant who is best known as the wife of American actor Kelsey Grammer.
-
D.
Maria Clements
Maria Clements was the wife of American film and television actor Stanley Clements.
-
E.
Claire Keesey
Claire Keesey is a Boston bank manager who becomes romantically involved with a career criminal, unaware of his role in the heist that traumatized her, in the film "The Town."
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa092f08190a9e37404a9de662c |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170df4d1c81909dd05abfd1cfc2ac |
completed | May 11, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_6a0172a34194819094c290be86ec0e7e |
completed | May 11, 2026, 6:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01732467408190b78c32296e20b55f |
completed | May 11, 2026, 6:11 a.m. |
Created at: April 10, 2026, 5:34 a.m.