Triple
T18829646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denny, Cambridgeshire |
E460487
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object |
Denny
Denny is a small village and civil parish located in Cambridgeshire, England.
|
E1343734
|
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: Denny | Statement: [Denny, Cambridgeshire, hasName, Denny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denny Context triple: [Denny, Cambridgeshire, hasName, Denny]
-
A.
Denny
Denny is a small town in central Scotland, located in the Falkirk council area.
-
B.
Denny
Denny is the surname of Reginald Denny, an English-born actor and World War I aviator who became a notable Hollywood film and television performer.
-
C.
Dennis
Dennis is a central character in the film "Savages," involved in the violent and high-stakes world of drug trafficking.
-
D.
Dennis
Dennis is a person or character notably linked to the concept or theme of pests, such as through pest control, infestation, or nuisance-related contexts.
-
E.
Dennis
Dennis is a coastal town on Cape Cod in Massachusetts known for its beaches, historic charm, and popular summer tourism.
- 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: Denny Triple: [Denny, Cambridgeshire, hasName, Denny]
Generated description
Denny is a small village and civil parish located in Cambridgeshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Denny Target entity description: Denny is a small village and civil parish located in Cambridgeshire, England.
-
A.
Denny
Denny is a small town in central Scotland, located in the Falkirk council area.
-
B.
Denny
Denny is the surname of Reginald Denny, an English-born actor and World War I aviator who became a notable Hollywood film and television performer.
-
C.
Dennis
Dennis is a central character in the film "Savages," involved in the violent and high-stakes world of drug trafficking.
-
D.
Dennis
Dennis is a person or character notably linked to the concept or theme of pests, such as through pest control, infestation, or nuisance-related contexts.
-
E.
Dennis
Dennis is a coastal town on Cape Cod in Massachusetts known for its beaches, historic charm, and popular summer tourism.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a9981be88190b709c0e72ad3f7e6 |
completed | April 20, 2026, 4:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a055bd36b4081908827a0e7f11b2576 |
completed | May 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a055d7d26dc8190a274af4f98c7ed2e |
completed | May 14, 2026, 5:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a055dd32a04819098b2b8fbcae0031d |
completed | May 14, 2026, 5:29 a.m. |
Created at: April 10, 2026, 11:56 a.m.