Triple
T710510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Sheffield |
E14194
|
entity |
| Predicate | hasNotableAlumni |
P51
|
FINISHED |
| Object | Lee Child |
E84826
|
NE FINISHED |
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: Lee Child | Statement: [University of Sheffield, hasNotableAlumni, Lee Child]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Child Context triple: [University of Sheffield, hasNotableAlumni, Lee Child]
-
A.
Lee Child
chosen
Lee Child is a British thriller author best known for creating the Jack Reacher series of novels.
-
B.
David Baldacci
David Baldacci is a bestselling American novelist known for his fast-paced legal and political thrillers, including "Absolute Power" and the "King & Maxwell" series.
-
C.
Michael Connelly
Michael Connelly is a bestselling American crime fiction author best known for his Harry Bosch and Lincoln Lawyer series.
-
D.
James Patterson
James Patterson is a prolific American author best known for his numerous bestselling thriller and mystery novels, including the Alex Cross and Women's Murder Club series.
-
E.
Jeffrey Archer
Jeffrey Archer is a British author and former politician best known for his bestselling novels and thrillers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a55c99fc8190941c5fd18551792a |
completed | March 1, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a63757e5848190b7c11820f67b20a7 |
completed | March 3, 2026, 1:20 a.m. |
Created at: March 1, 2026, 7:36 p.m.