Triple
T3457667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1957 World Series |
E72943
|
entity |
| Predicate | umpireCrewChief |
P6421
|
FINISHED |
| Object |
Dusty Boggess
Dusty Boggess was a prominent Major League Baseball umpire who officiated in multiple World Series during the mid-20th century.
|
E359816
|
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: Dusty Boggess | Statement: [1957 World Series, umpireCrewChief, Dusty Boggess]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dusty Boggess Context triple: [1957 World Series, umpireCrewChief, Dusty Boggess]
-
A.
Cliff Martinez
Cliff Martinez is an American film composer and former drummer known for his atmospheric, minimalist scores for directors like Steven Soderbergh and Nicolas Winding Refn.
-
B.
Phil Johnston
Phil Johnston is an American screenwriter and filmmaker known for co-writing animated hits such as Disney's "Zootopia" and "Wreck-It Ralph."
-
C.
Jack Briggs
Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
-
D.
Chuck Arnold
Chuck Arnold is an American sports executive who serves as the president of the NFL’s Seattle Seahawks.
-
E.
Paul Darrow
Paul Darrow was the son of famed American lawyer Clarence Darrow and a businessman who managed many of his father's financial affairs.
- 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: Dusty Boggess Triple: [1957 World Series, umpireCrewChief, Dusty Boggess]
Generated description
Dusty Boggess was a prominent Major League Baseball umpire who officiated in multiple World Series during the mid-20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dusty Boggess Target entity description: Dusty Boggess was a prominent Major League Baseball umpire who officiated in multiple World Series during the mid-20th century.
-
A.
Cliff Martinez
Cliff Martinez is an American film composer and former drummer known for his atmospheric, minimalist scores for directors like Steven Soderbergh and Nicolas Winding Refn.
-
B.
Phil Johnston
Phil Johnston is an American screenwriter and filmmaker known for co-writing animated hits such as Disney's "Zootopia" and "Wreck-It Ralph."
-
C.
Jack Briggs
Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
-
D.
Chuck Arnold
Chuck Arnold is an American sports executive who serves as the president of the NFL’s Seattle Seahawks.
-
E.
Paul Darrow
Paul Darrow was the son of famed American lawyer Clarence Darrow and a businessman who managed many of his father's financial affairs.
- 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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbae36e748190bf20fd3c6de22e19 |
completed | March 8, 2026, 6:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b36104a1048190b6fa9f552786a85a |
completed | March 13, 2026, 12:57 a.m. |
| NEDg | Description generation | batch_69b364c6c2f881909b72a78123cd445d |
completed | March 13, 2026, 1:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b365328b188190b44d8690eaa5b12e |
completed | March 13, 2026, 1:15 a.m. |
Created at: March 8, 2026, 3:16 p.m.