Triple
T1711205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Nottingham |
E36985
|
entity |
| Predicate | viceChancellor |
P142
|
FINISHED |
| Object |
Shearer West
Shearer West is a British art historian and academic leader who serves as Vice-Chancellor of the University of Nottingham.
|
E193696
|
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: Shearer West | Statement: [University of Nottingham, viceChancellor, Shearer West]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shearer West Context triple: [University of Nottingham, viceChancellor, Shearer West]
-
A.
Drysdale
Drysdale is a surname most famously associated with Don Drysdale, a Hall of Fame Major League Baseball pitcher for the Los Angeles Dodgers.
-
B.
Verna
Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
-
C.
Southesk
Southesk is the traditional war cry associated with Clan Carnegie, a Scottish noble family from Angus.
-
D.
Ogden Rood
Ogden Rood was a 19th-century American physicist and color theorist whose work on color perception and optical mixing significantly shaped modern art movements.
-
E.
Crowfoot
Crowfoot is the maiden surname of Nobel Prize–winning chemist Dorothy Hodgkin, reflecting her family lineage.
- 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: Shearer West Triple: [University of Nottingham, viceChancellor, Shearer West]
Generated description
Shearer West is a British art historian and academic leader who serves as Vice-Chancellor of the University of Nottingham.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shearer West Target entity description: Shearer West is a British art historian and academic leader who serves as Vice-Chancellor of the University of Nottingham.
-
A.
Drysdale
Drysdale is a surname most famously associated with Don Drysdale, a Hall of Fame Major League Baseball pitcher for the Los Angeles Dodgers.
-
B.
Verna
Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
-
C.
Southesk
Southesk is the traditional war cry associated with Clan Carnegie, a Scottish noble family from Angus.
-
D.
Ogden Rood
Ogden Rood was a 19th-century American physicist and color theorist whose work on color perception and optical mixing significantly shaped modern art movements.
-
E.
Crowfoot
Crowfoot is the maiden surname of Nobel Prize–winning chemist Dorothy Hodgkin, reflecting her family lineage.
- 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_69a88617439c819094ffb5d16a0f6307 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa63149288819082e7055d0d292d1d |
completed | March 6, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8addf4a48190b19cdb861db5eecd |
completed | March 8, 2026, 2:42 p.m. |
| NEDg | Description generation | batch_69ad957912808190be5b6ed8d3f20535 |
completed | March 8, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad97accca48190bc43e94337589a5f |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 4, 2026, 7:30 p.m.