Triple
T1638920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrick Warburton |
E35422
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Warburton
Warburton is a surname of English origin borne by various notable individuals, including actors, athletes, and public figures.
|
E189420
|
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: Warburton | Statement: [Patrick Warburton, familyName, Warburton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warburton Context triple: [Patrick Warburton, familyName, Warburton]
-
A.
Warburton
Warburton is a small town in Victoria, Australia, known for its scenic forested setting in the Yarra Valley and popularity as a nature and weekend getaway destination.
-
B.
Rushworth
Rushworth is the middle name of Lord Jellicoe, a British naval officer and statesman who served as First Sea Lord during World War I.
-
C.
Coryton
Coryton is a suburban area and railway terminus in Cardiff, Wales, served by local commuter trains.
-
D.
Saltwell
Saltwell is a low-power Intel microarchitecture designed primarily for energy-efficient Atom processors used in mobile and embedded devices.
-
E.
Tavistock
Tavistock is a historic market town in Devon, England, known for its medieval abbey remains and association with the Russell family, Dukes of Bedford.
- 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: Warburton Triple: [Patrick Warburton, familyName, Warburton]
Generated description
Warburton is a surname of English origin borne by various notable individuals, including actors, athletes, and public figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Warburton Target entity description: Warburton is a surname of English origin borne by various notable individuals, including actors, athletes, and public figures.
-
A.
Warburton
Warburton is a small town in Victoria, Australia, known for its scenic forested setting in the Yarra Valley and popularity as a nature and weekend getaway destination.
-
B.
Rushworth
Rushworth is the middle name of Lord Jellicoe, a British naval officer and statesman who served as First Sea Lord during World War I.
-
C.
Coryton
Coryton is a suburban area and railway terminus in Cardiff, Wales, served by local commuter trains.
-
D.
Saltwell
Saltwell is a low-power Intel microarchitecture designed primarily for energy-efficient Atom processors used in mobile and embedded devices.
-
E.
Tavistock
Tavistock is a historic market town in Devon, England, known for its medieval abbey remains and association with the Russell family, Dukes of Bedford.
- 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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a1c2b148190b6610237d5bede10 |
completed | March 5, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad71a61de8819095005c222ec50810 |
completed | March 8, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_69ad728cb27c8190802b30afc5e259e2 |
completed | March 8, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad72fa21208190b596bfdfc69043bd |
completed | March 8, 2026, 1 p.m. |
Created at: March 4, 2026, 7:28 p.m.