Triple
T6628338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presumed Innocent |
E149857
|
entity |
| Predicate | novelAuthor |
P2353
|
FINISHED |
| Object | Scott Turow |
E600962
|
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: Scott Turow | Statement: [Presumed Innocent, novelAuthor, Scott Turow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Turow Context triple: [Presumed Innocent, novelAuthor, Scott Turow]
-
A.
Scott Turow
chosen
Scott Turow is an American novelist and lawyer best known for his bestselling legal thrillers that helped popularize the modern courtroom drama genre.
-
B.
John Grisham
John Grisham is a bestselling American author renowned for his legal thrillers, many of which have been adapted into successful films.
-
C.
Ty Grisham
Ty Grisham is a child of bestselling American legal-thriller author John Grisham.
-
D.
Lawrence Block
Lawrence Block is a prolific American crime and mystery novelist best known for his Matthew Scudder and Bernie Rhodenbarr series.
-
E.
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.
- 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_69c687ee50048190aa151765bef16193 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afa4a08481908cb5a554f388f32a |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e44d356c8190ad4f2a617c3de4af |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:59 p.m.