Triple
T5042144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Killing |
E113568
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Joe Sawyer
Joe Sawyer was a Canadian-born character actor known for his tough-guy roles in numerous American films and television shows from the 1930s through the 1960s.
|
E488545
|
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: Joe Sawyer | Statement: [The Killing, castMember, Joe Sawyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Sawyer Context triple: [The Killing, castMember, Joe Sawyer]
-
A.
Sid Sawyer
Sid Sawyer is Tom Sawyer’s well-behaved but tattling half-brother in Mark Twain’s classic novel "The Adventures of Tom Sawyer."
-
B.
Jack Seddon
Jack Seddon was a screenwriter best known for his work on the epic World War II film "The Longest Day."
-
C.
Bryan Woodman
Bryan Woodman is a young, ambitious energy analyst whose personal tragedy and moral awakening drive one of the central storylines in the geopolitical drama film "Syriana."
-
D.
Steve Owen
Steve Owen was a legendary NFL head coach best known for leading the New York Giants for nearly a quarter century and pioneering modern defensive strategies.
-
E.
Joel Parker
Joel Parker is a name shared by several notable individuals, including historical American politicians and jurists.
- 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: Joe Sawyer Triple: [The Killing, castMember, Joe Sawyer]
Generated description
Joe Sawyer was a Canadian-born character actor known for his tough-guy roles in numerous American films and television shows from the 1930s through the 1960s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joe Sawyer Target entity description: Joe Sawyer was a Canadian-born character actor known for his tough-guy roles in numerous American films and television shows from the 1930s through the 1960s.
-
A.
Sid Sawyer
Sid Sawyer is Tom Sawyer’s well-behaved but tattling half-brother in Mark Twain’s classic novel "The Adventures of Tom Sawyer."
-
B.
Jack Seddon
Jack Seddon was a screenwriter best known for his work on the epic World War II film "The Longest Day."
-
C.
Bryan Woodman
Bryan Woodman is a young, ambitious energy analyst whose personal tragedy and moral awakening drive one of the central storylines in the geopolitical drama film "Syriana."
-
D.
Steve Owen
Steve Owen was a legendary NFL head coach best known for leading the New York Giants for nearly a quarter century and pioneering modern defensive strategies.
-
E.
Joel Parker
Joel Parker is a name shared by several notable individuals, including historical American politicians and jurists.
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73df8f7481909a8b86c4ae69aab9 |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c8414288190bf53a40033aa70ea |
completed | March 21, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_69be9e5bc02c8190bcb1442439673706 |
completed | March 21, 2026, 1:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be9f0888cc8190bfed8337e15ca909 |
completed | March 21, 2026, 1:37 p.m. |
Created at: March 20, 2026, 1:37 p.m.