Triple
T20674411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dude |
E508120
|
entity |
| Predicate | inspiredBy |
P9
|
FINISHED |
| Object |
Jeff Dowd
Jeff Dowd is an American film producer and political activist whose personality and life partly inspired the character "The Dude" in the Coen brothers' film The Big Lebowski.
|
E1450616
|
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: Jeff Dowd | Statement: [The Dude, inspiredBy, Jeff Dowd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Dowd Context triple: [The Dude, inspiredBy, Jeff Dowd]
-
A.
Kevin Dowd
Kevin Dowd is the brother of Pulitzer Prize–winning New York Times columnist Maureen Dowd.
-
B.
John Geddert
John Geddert was an American gymnastics coach best known for leading the U.S. women’s team to gold at the 2012 London Olympics and later facing numerous abuse-related criminal charges.
-
C.
Mike Dowd
Mike Dowd is the father of Pulitzer Prize–winning New York Times columnist Maureen Dowd.
-
D.
Charles Dougherty
Charles Dougherty was a prominent 19th-century Georgia jurist and political figure for whom Dougherty County was named.
-
E.
Daniel Sullivan
Daniel Sullivan is an acclaimed American theatre director known for his work on numerous Broadway and Off-Broadway productions, including several Tony Award–winning plays.
- 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: Jeff Dowd Triple: [The Dude, inspiredBy, Jeff Dowd]
Generated description
Jeff Dowd is an American film producer and political activist whose personality and life partly inspired the character "The Dude" in the Coen brothers' film The Big Lebowski.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeff Dowd Target entity description: Jeff Dowd is an American film producer and political activist whose personality and life partly inspired the character "The Dude" in the Coen brothers' film The Big Lebowski.
-
A.
Kevin Dowd
Kevin Dowd is the brother of Pulitzer Prize–winning New York Times columnist Maureen Dowd.
-
B.
John Geddert
John Geddert was an American gymnastics coach best known for leading the U.S. women’s team to gold at the 2012 London Olympics and later facing numerous abuse-related criminal charges.
-
C.
Mike Dowd
Mike Dowd is the father of Pulitzer Prize–winning New York Times columnist Maureen Dowd.
-
D.
Charles Dougherty
Charles Dougherty was a prominent 19th-century Georgia jurist and political figure for whom Dougherty County was named.
-
E.
Daniel Sullivan
Daniel Sullivan is an acclaimed American theatre director known for his work on numerous Broadway and Off-Broadway productions, including several Tony Award–winning plays.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5cdbec48190a945261c41d810ce |
completed | April 20, 2026, 11:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08f8a685648190b39df6bbd4739b0b |
completed | May 16, 2026, 11:07 p.m. |
| NEDg | Description generation | batch_6a08f97974308190af0d39a3a2d6853a |
completed | May 16, 2026, 11:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08f9e50c6481908be5a61dab994012 |
completed | May 16, 2026, 11:12 p.m. |
Created at: April 16, 2026, 11:44 a.m.