Triple
T15073247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bosch (TV series) |
E379934
|
entity |
| Predicate | basedOnWorkBy |
P2806
|
FINISHED |
| Object | Michael Connelly |
E78136
|
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: Michael Connelly | Statement: [Bosch (TV series), basedOnWorkBy, Michael Connelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Connelly Context triple: [Bosch (TV series), basedOnWorkBy, Michael Connelly]
-
A.
Michael Connelly
chosen
Michael Connelly is a bestselling American crime fiction author best known for his Harry Bosch and Lincoln Lawyer series.
-
B.
James Lee Burke
James Lee Burke is an acclaimed American crime novelist best known for his Dave Robicheaux series and richly atmospheric, character-driven mysteries set in the American South.
-
C.
Jeffery Deaver
Jeffery Deaver is an American mystery and thriller author best known for his Lincoln Rhyme series and for writing a James Bond novel, "Carte Blanche."
-
D.
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."
-
E.
Nelson DeMille
Nelson DeMille is an American novelist best known for his suspenseful thrillers and crime novels featuring complex plots, military and law-enforcement settings, and sharp, witty dialogue.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7fa0570819088a97b28173154cd |
completed | April 15, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f3548b48190aec852723654bd35 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 3:02 a.m.