Triple
T6817567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danville, Illinois |
E156805
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Dan Beckwith
Dan Beckwith was an early settler and prominent figure after whom the city of Danville, Illinois, was named.
|
E621972
|
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: Dan Beckwith | Statement: [Danville, Illinois, namedAfter, Dan Beckwith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Beckwith Context triple: [Danville, Illinois, namedAfter, Dan Beckwith]
-
A.
Russell Birdwell
Russell Birdwell was an American film publicist and occasional director known for his influential work in Hollywood marketing and promotion during the mid-20th century.
-
B.
Eric L. Beason
Eric L. Beason is a film editor best known for his work on major Hollywood productions, including the superhero blockbuster "Spider-Man 3."
-
C.
Christopher Beck
Christopher Beck is a Canadian composer best known for his film and television scores, including work on major Hollywood productions.
-
D.
Dan Knechtges
Dan Knechtges is an American director and choreographer known for his work on numerous Broadway and Off-Broadway musicals.
-
E.
Guy Weadick
Guy Weadick was an American-born cowboy, promoter, and showman best known for creating the Calgary Stampede and helping popularize rodeo culture in Canada.
- 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: Dan Beckwith Triple: [Danville, Illinois, namedAfter, Dan Beckwith]
Generated description
Dan Beckwith was an early settler and prominent figure after whom the city of Danville, Illinois, was named.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dan Beckwith Target entity description: Dan Beckwith was an early settler and prominent figure after whom the city of Danville, Illinois, was named.
-
A.
Russell Birdwell
Russell Birdwell was an American film publicist and occasional director known for his influential work in Hollywood marketing and promotion during the mid-20th century.
-
B.
Eric L. Beason
Eric L. Beason is a film editor best known for his work on major Hollywood productions, including the superhero blockbuster "Spider-Man 3."
-
C.
Christopher Beck
Christopher Beck is a Canadian composer best known for his film and television scores, including work on major Hollywood productions.
-
D.
Dan Knechtges
Dan Knechtges is an American director and choreographer known for his work on numerous Broadway and Off-Broadway musicals.
-
E.
Guy Weadick
Guy Weadick was an American-born cowboy, promoter, and showman best known for creating the Calgary Stampede and helping popularize rodeo culture in Canada.
- 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_69c688298a288190af3f285d57f76bbe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d355b52081909f037cec76bdccf6 |
completed | March 27, 2026, 6:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723e458d881909fcea55915514eb1 |
completed | March 28, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69c724f876d08190a19dd4e0840f841b |
completed | March 28, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c72568866c8190bf88a02e566d5c3a |
completed | March 28, 2026, 12:48 a.m. |
Created at: March 27, 2026, 2:17 p.m.