Triple
T14162897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dead for a Dollar |
E350992
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Warren Burke
Warren Burke is an actor known for his role in the Western film "Dead for a Dollar."
|
E1107165
|
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: Warren Burke | Statement: [Dead for a Dollar, starring, Warren Burke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warren Burke Context triple: [Dead for a Dollar, starring, Warren Burke]
-
A.
Phil Burke
Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
-
B.
Richard T. Burke
Richard T. Burke is an American businessman best known as the founder of UnitedHealth Group, one of the largest health insurance and managed care companies in the world.
-
C.
Tim McAuliffe
Tim McAuliffe is a Canadian television writer and producer known for his work on comedy series such as "The Office," "Last Man on Earth," and "Late Night with Jimmy Fallon."
-
D.
Mat Burke
Mat Burke is a central character in Eugene O’Neill’s play "Anna Christie," portrayed as a rugged Irish stoker whose passionate relationship with Anna drives much of the drama’s emotional conflict.
-
E.
Tom Kilpatrick
Tom Kilpatrick was a screenwriter best known for his work on the 1940 science fiction horror film "Dr. Cyclops."
- 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: Warren Burke Triple: [Dead for a Dollar, starring, Warren Burke]
Generated description
Warren Burke is an actor known for his role in the Western film "Dead for a Dollar."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Warren Burke Target entity description: Warren Burke is an actor known for his role in the Western film "Dead for a Dollar."
-
A.
Phil Burke
Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
-
B.
Richard T. Burke
Richard T. Burke is an American businessman best known as the founder of UnitedHealth Group, one of the largest health insurance and managed care companies in the world.
-
C.
Tim McAuliffe
Tim McAuliffe is a Canadian television writer and producer known for his work on comedy series such as "The Office," "Last Man on Earth," and "Late Night with Jimmy Fallon."
-
D.
Mat Burke
Mat Burke is a central character in Eugene O’Neill’s play "Anna Christie," portrayed as a rugged Irish stoker whose passionate relationship with Anna drives much of the drama’s emotional conflict.
-
E.
Tom Kilpatrick
Tom Kilpatrick was a screenwriter best known for his work on the 1940 science fiction horror film "Dr. Cyclops."
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de613a4a2081908fd51bf4b4d82b6c |
completed | April 14, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8aa0e98c81908f6b55a04cd72871 |
completed | May 8, 2026, 7:02 a.m. |
| NEDg | Description generation | batch_69fd8d1eb5848190be35399e462aeb60 |
completed | May 8, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8da450108190b1ed174db5f100c4 |
completed | May 8, 2026, 7:15 a.m. |
Created at: April 10, 2026, 12:59 a.m.