Triple
T18943961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Slaughter Rule |
E463458
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Ken White
Ken White is an actor known for his role in the independent drama film "The Slaughter Rule."
|
E1350582
|
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: Ken White | Statement: [The Slaughter Rule, starring, Ken White]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken White Context triple: [The Slaughter Rule, starring, Ken White]
-
A.
Ian Blume
Ian Blume is a film editor known for his work on the drama feature "Ben Is Back."
-
B.
John Burningham
John Burningham was a renowned British author and illustrator of children's books, celebrated for his distinctive, whimsical artwork and storytelling.
-
C.
K. Trevor Wilson
K. Trevor Wilson is a Canadian stand-up comedian and actor best known for playing the character Squirrely Dan on the television series "Letterkenny."
-
D.
Edward Bunker
Edward Bunker was an American ex-convict turned acclaimed crime novelist and screenwriter known for his gritty, realistic portrayals of criminal life.
-
E.
James Sallis
James Sallis is an American crime and science fiction writer best known for his neo-noir novel "Drive," which was adapted into the 2011 film of the same name.
- 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: Ken White Triple: [The Slaughter Rule, starring, Ken White]
Generated description
Ken White is an actor known for his role in the independent drama film "The Slaughter Rule."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ken White Target entity description: Ken White is an actor known for his role in the independent drama film "The Slaughter Rule."
-
A.
Ian Blume
Ian Blume is a film editor known for his work on the drama feature "Ben Is Back."
-
B.
John Burningham
John Burningham was a renowned British author and illustrator of children's books, celebrated for his distinctive, whimsical artwork and storytelling.
-
C.
K. Trevor Wilson
K. Trevor Wilson is a Canadian stand-up comedian and actor best known for playing the character Squirrely Dan on the television series "Letterkenny."
-
D.
Edward Bunker
Edward Bunker was an American ex-convict turned acclaimed crime novelist and screenwriter known for his gritty, realistic portrayals of criminal life.
-
E.
James Sallis
James Sallis is an American crime and science fiction writer best known for his neo-noir novel "Drive," which was adapted into the 2011 film of the same name.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3ed847c8190a911a61673608a5c |
completed | April 20, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a059fc93e0c81908cc4b9755036ea29 |
completed | May 14, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_6a05a1b640488190934aa468b3638841 |
completed | May 14, 2026, 10:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05a21b8a7c81909ad3f4148842e4c1 |
completed | May 14, 2026, 10:21 a.m. |
Created at: April 10, 2026, 11:59 a.m.