Triple
T21095758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterloo Road |
E519760
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Denzil Kelly
Denzil Kelly is a fictional student character from the British television drama series "Waterloo Road," known for his troubled background and involvement in several major storylines.
|
E1466663
|
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: Denzil Kelly | Statement: [Waterloo Road, hasMainCharacter, Denzil Kelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denzil Kelly Context triple: [Waterloo Road, hasMainCharacter, Denzil Kelly]
-
A.
Denzil Keelor
Denzil Keelor is a retired Indian Air Force Air Marshal and decorated fighter pilot known for his valor and leadership, particularly during the 1965 and 1971 Indo-Pak wars.
-
B.
Denzil Doyle
Denzil Doyle is a Canadian technology entrepreneur and venture capitalist known for his influential role in developing Ottawa’s high-tech industry.
-
C.
Denzil Jones
Denzil Jones is a person known primarily for bearing the given name Denzil.
-
D.
Ian Kelly
Ian Kelly is an entrepreneur best known as a co-founder of the Apple Bottoms urban fashion brand.
-
E.
Denis Lynch
Denis Lynch is an Irish show jumping rider who has competed at the highest international levels, including the Olympics and major global tours.
- 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: Denzil Kelly Triple: [Waterloo Road, hasMainCharacter, Denzil Kelly]
Generated description
Denzil Kelly is a fictional student character from the British television drama series "Waterloo Road," known for his troubled background and involvement in several major storylines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Denzil Kelly Target entity description: Denzil Kelly is a fictional student character from the British television drama series "Waterloo Road," known for his troubled background and involvement in several major storylines.
-
A.
Denzil Keelor
Denzil Keelor is a retired Indian Air Force Air Marshal and decorated fighter pilot known for his valor and leadership, particularly during the 1965 and 1971 Indo-Pak wars.
-
B.
Denzil Doyle
Denzil Doyle is a Canadian technology entrepreneur and venture capitalist known for his influential role in developing Ottawa’s high-tech industry.
-
C.
Denzil Jones
Denzil Jones is a person known primarily for bearing the given name Denzil.
-
D.
Ian Kelly
Ian Kelly is an entrepreneur best known as a co-founder of the Apple Bottoms urban fashion brand.
-
E.
Denis Lynch
Denis Lynch is an Irish show jumping rider who has competed at the highest international levels, including the Olympics and major global tours.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5845f88190a16f3df157f0906c |
completed | April 21, 2026, 6:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a095a5e7f048190b485f392105666d2 |
completed | May 17, 2026, 6:04 a.m. |
| NEDg | Description generation | batch_6a095b6d25f8819097334c13ef37003e |
completed | May 17, 2026, 6:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a095c7c8840819087c9860a75314b83 |
completed | May 17, 2026, 6:13 a.m. |
Created at: April 16, 2026, 2:52 p.m.