Triple
T14079993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How to Get Away with Murder |
E338840
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Peter Nowalk
Peter Nowalk is an American television writer and producer best known for creating the legal thriller series "How to Get Away with Murder."
|
E1077040
|
NE FINISHED |
How this triple was built (4 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: Peter Nowalk | Statement: [How to Get Away with Murder, creator, Peter Nowalk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Nowalk Context triple: [How to Get Away with Murder, creator, Peter Nowalk]
-
A.
Eric Pleskow
Eric Pleskow was an Austrian-born American film executive and producer best known for leading major studios and co-founding the influential independent film company Orion Pictures.
-
B.
Josh Jakubowski
Josh Jakubowski is a music producer best known for his work on the album "Sink or Swim."
-
C.
Andrew Goczkowski
Andrew Goczkowski is an American local government leader serving as the mayor of Des Plaines, Illinois.
-
D.
Peter Jankowski
Peter Jankowski is a television producer best known for his longtime work on Dick Wolf’s crime drama franchises, including the Chicago and Law & Order series.
-
E.
Eric Dapkewicz
Eric Dapkewicz is a film editor best known for his work on major animated features, including DreamWorks Animation’s "Puss in Boots."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Peter Nowalk Triple: [How to Get Away with Murder, creator, Peter Nowalk]
Generated description
Peter Nowalk is an American television writer and producer best known for creating the legal thriller series "How to Get Away with Murder."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Nowalk Target entity description: Peter Nowalk is an American television writer and producer best known for creating the legal thriller series "How to Get Away with Murder."
-
A.
Eric Pleskow
Eric Pleskow was an Austrian-born American film executive and producer best known for leading major studios and co-founding the influential independent film company Orion Pictures.
-
B.
Josh Jakubowski
Josh Jakubowski is a music producer best known for his work on the album "Sink or Swim."
-
C.
Andrew Goczkowski
Andrew Goczkowski is an American local government leader serving as the mayor of Des Plaines, Illinois.
-
D.
Peter Jankowski
Peter Jankowski is a television producer best known for his longtime work on Dick Wolf’s crime drama franchises, including the Chicago and Law & Order series.
-
E.
Eric Dapkewicz
Eric Dapkewicz is a film editor best known for his work on major animated features, including DreamWorks Animation’s "Puss in Boots."
- F. None of above. chosen
Provenance (5 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5e027881908f610f5bab7598d4 |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb672c08081908e1ff9030745776a |
completed | May 7, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69fcc1208a1481908b9f9a49b9c5ca5b |
completed | May 7, 2026, 4:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcc19f735c8190a4e765f34abaa672 |
completed | May 7, 2026, 4:45 p.m. |
Created at: April 9, 2026, 10:21 p.m.