Triple
T5947643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlisle United F.C. |
E132318
|
entity |
| Predicate | chairman |
P377
|
FINISHED |
| Object |
Andrew Jenkins
Andrew Jenkins is a British businessman best known for his long-serving leadership role as chairman of Carlisle United Football Club.
|
E570371
|
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: Andrew Jenkins | Statement: [Carlisle United F.C., chairman, Andrew Jenkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Jenkins Context triple: [Carlisle United F.C., chairman, Andrew Jenkins]
-
A.
Michael Jenkins
Michael Jenkins is an Australian screenwriter and director known for his work in film and television, including influential Australian dramas.
-
B.
Michael Jenkins
Michael Jenkins is a theatre producer best known for his work on the hit musical comedy "Spamalot."
-
C.
Allen Jenkins
Allen Jenkins was an American character actor known for his comic supporting roles in numerous Hollywood films of the 1930s and 1940s.
-
D.
Jeff Jenkins
Jeff Jenkins is a television producer best known for his work on reality TV series, particularly within the Kardashian franchise.
-
E.
George Jenkins
George Jenkins was an American production designer and art director best known for his Academy Award–winning work on influential films of the 1960s and 1970s.
- 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: Andrew Jenkins Triple: [Carlisle United F.C., chairman, Andrew Jenkins]
Generated description
Andrew Jenkins is a British businessman best known for his long-serving leadership role as chairman of Carlisle United Football Club.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrew Jenkins Target entity description: Andrew Jenkins is a British businessman best known for his long-serving leadership role as chairman of Carlisle United Football Club.
-
A.
Michael Jenkins
Michael Jenkins is an Australian screenwriter and director known for his work in film and television, including influential Australian dramas.
-
B.
Michael Jenkins
Michael Jenkins is a theatre producer best known for his work on the hit musical comedy "Spamalot."
-
C.
Allen Jenkins
Allen Jenkins was an American character actor known for his comic supporting roles in numerous Hollywood films of the 1930s and 1940s.
-
D.
Jeff Jenkins
Jeff Jenkins is a television producer best known for his work on reality TV series, particularly within the Kardashian franchise.
-
E.
George Jenkins
George Jenkins was an American production designer and art director best known for his Academy Award–winning work on influential films of the 1960s and 1970s.
- 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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0397c80708190a4778fdb353314b7 |
completed | March 22, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1355102c88190b139ba052e12a875 |
completed | March 23, 2026, 12:42 p.m. |
| NEDg | Description generation | batch_69c136ca45b08190ae045ff72917ba30 |
completed | March 23, 2026, 12:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c13744f0308190b5768f7f4da8c4cf |
completed | March 23, 2026, 12:51 p.m. |
Created at: March 22, 2026, 4:01 p.m.