Triple
T9016575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Blacklist |
E215606
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Jon Bokenkamp |
E600065
|
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: Jon Bokenkamp | Statement: [The Blacklist, executiveProducer, Jon Bokenkamp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Bokenkamp Context triple: [The Blacklist, executiveProducer, Jon Bokenkamp]
-
A.
Jon Bokenkamp
chosen
Jon Bokenkamp is an American screenwriter and producer best known for creating the television series "The Blacklist" and writing several thriller films.
-
B.
Danny Kwan
Danny Kwan is the father of American figure skating champion Michelle Kwan.
-
C.
Michael Klingensmith
Michael Klingensmith is an American media executive best known for helping launch and lead major magazine brands, including playing a key role in the creation of Entertainment Weekly.
-
D.
Chuck Russell
Chuck Russell is an American film director, producer, and screenwriter best known for genre hits like "A Nightmare on Elm Street 3: Dream Warriors," "The Mask," and various big-budget action and horror films.
-
E.
Tom Hiel
Tom Hiel is an American film and television composer known for scoring a variety of genre projects, including cult and horror 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_69ca83a38aa88190bf1bb80c4548b5e2 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69fd2a888190a20bf18cd226a180 |
completed | April 1, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeb7117c48190a9dca7bbdabe9e3d |
completed | April 3, 2026, 4:31 p.m. |
Created at: March 30, 2026, 7:06 p.m.