Triple
T1660896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Patterson |
E35903
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | James Patterson |
E35903
|
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: James Patterson | Statement: [James Patterson, name, James Patterson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Patterson Context triple: [James Patterson, name, James Patterson]
-
A.
James Patterson
chosen
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.
-
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.
Dean Koontz
Dean Koontz is a bestselling American author known for his suspenseful thrillers that blend horror, mystery, and science fiction elements.
-
D.
Lee Child
Lee Child is a British thriller author best known for creating the Jack Reacher series of novels.
-
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_69a88606aa808190aa0b421b4271f220 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90ab2a3488190a67c110a70d652c9 |
completed | March 5, 2026, 4:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad682ab8a08190bdb33d79d5083029 |
completed | March 8, 2026, 12:14 p.m. |
Created at: March 4, 2026, 7:29 p.m.