Triple
T4029035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Baldacci |
E83661
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | David Baldacci |
E83661
|
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: David Baldacci | Statement: [David Baldacci, name, David Baldacci]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Baldacci Context triple: [David Baldacci, name, David Baldacci]
-
A.
David Baldacci
chosen
David Baldacci is a bestselling American novelist known for his fast-paced legal and political thrillers, including "Absolute Power" and the "King & Maxwell" series.
-
B.
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.
-
C.
Lee Child
Lee Child is a British thriller author best known for creating the Jack Reacher series of novels.
-
D.
Ty Grisham
Ty Grisham is a child of bestselling American legal-thriller author John Grisham.
-
E.
John Grisham
John Grisham is a bestselling American author renowned for his legal thrillers, many of which have been adapted into successful films.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaf066b08190afbb4a18ddc8d67e |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b556358f148190be7008092d0023af |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:36 p.m.