Triple
T6672772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Edward's School, Birmingham |
E151770
|
entity |
| Predicate | hasAlumnus |
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: [King Edward's School, Birmingham, hasAlumnus, Lee Child]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Child Context triple: [King Edward's School, Birmingham, hasAlumnus, Lee Child]
-
A.
Lee Child
chosen
Lee Child is a British thriller author best known for creating the Jack Reacher series of novels.
-
B.
Jack Carr
Jack Carr is an actor known for his role in the film "Hellgate."
-
C.
Jeff Lindsay
Jeff Lindsay is an American novelist best known for creating the character Dexter Morgan in the crime thriller series that inspired the television show "Dexter."
-
D.
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.
-
E.
Michael Connelly
Michael Connelly is a bestselling American crime fiction author best known for his Harry Bosch and Lincoln Lawyer series.
- 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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0cb78b08190923685712cbba5d8 |
completed | March 27, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f79f1718819098d8a6d08bf7f919 |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:03 p.m.