Triple
T20022796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gresham College |
E494903
|
entity |
| Predicate | hasNotableProfessor |
P13831
|
FINISHED |
| Object | Lisa Jardine |
—
|
NE NERFINISHED |
How this triple was built (2 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: Lisa Jardine | Statement: [Gresham College, hasNotableProfessor, Lisa Jardine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisa Jardine Context triple: [Gresham College, hasNotableProfessor, Lisa Jardine]
-
A.
Lisa Jardine
chosen
Lisa Jardine was a prominent British historian of the Renaissance and early modern period, noted for her work on science, culture, and the history of ideas.
-
B.
Patricia Fara
Patricia Fara is a British historian of science known for her work on the scientific revolution, women in science, and the cultural history of science.
-
C.
Claire Tomalin
Claire Tomalin is a British literary journalist and acclaimed biographer known for her works on figures such as Charles Dickens, Samuel Pepys, and Jane Austen.
-
D.
Katharine Bethell
Katharine Bethell was the wife of pioneering British engineer and steam turbine inventor Charles Algernon Parsons.
-
E.
Jacqueline Carlin
Jacqueline Carlin is an American actress and former model best known for her film and television work in the 1970s and 1980s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66288fc18819083833b55c5e069a6 |
completed | April 20, 2026, 5:29 p.m. |
Created at: April 11, 2026, 3:35 p.m.