Triple
T13089182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Louis Terriers |
E310414
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object |
Bob Groom
Bob Groom was an early 20th-century Major League Baseball pitcher known for his time in the Federal League and for throwing a no-hitter.
|
E1074461
|
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: Bob Groom | Statement: [St. Louis Terriers, notablePlayer, Bob Groom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Groom Context triple: [St. Louis Terriers, notablePlayer, Bob Groom]
-
A.
Robert Ginyard
Robert Ginyard is a songwriter best known for co-writing the track "No Church in the Wild," popularized by Jay-Z and Kanye West.
-
B.
Glen Tullman
Glen Tullman is an American healthcare technology entrepreneur and executive best known for leading and building major digital health companies, including Allscripts.
-
C.
Robert Gaskins
Robert Gaskins is a software entrepreneur best known as the co-creator of Microsoft PowerPoint and a key figure in the early development of presentation software.
-
D.
Herb Rhoad
Herb Rhoad was a vocalist best known as a member of the a cappella group The Persuasions.
-
E.
Buddy Hillyer
Buddy Hillyer is a character in the film "Rambling Rose," serving as part of the story’s depiction of a Southern family in the 1930s.
- 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: Bob Groom Triple: [St. Louis Terriers, notablePlayer, Bob Groom]
Generated description
Bob Groom was an early 20th-century Major League Baseball pitcher known for his time in the Federal League and for throwing a no-hitter.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bob Groom Target entity description: Bob Groom was an early 20th-century Major League Baseball pitcher known for his time in the Federal League and for throwing a no-hitter.
-
A.
Robert Ginyard
Robert Ginyard is a songwriter best known for co-writing the track "No Church in the Wild," popularized by Jay-Z and Kanye West.
-
B.
Glen Tullman
Glen Tullman is an American healthcare technology entrepreneur and executive best known for leading and building major digital health companies, including Allscripts.
-
C.
Robert Gaskins
Robert Gaskins is a software entrepreneur best known as the co-creator of Microsoft PowerPoint and a key figure in the early development of presentation software.
-
D.
Herb Rhoad
Herb Rhoad was a vocalist best known as a member of the a cappella group The Persuasions.
-
E.
Buddy Hillyer
Buddy Hillyer is a character in the film "Rambling Rose," serving as part of the story’s depiction of a Southern family in the 1930s.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d98138a1d481908a139f2f67eb3472 |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac754aec8190a5b975c9965eef61 |
completed | May 6, 2026, 9:02 p.m. |
| NEDg | Description generation | batch_69fbb16aa3dc819096407243383d7578 |
completed | May 6, 2026, 9:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbb1ebe7048190b62c56b43002f94c |
completed | May 6, 2026, 9:26 p.m. |
Created at: April 9, 2026, 9:03 p.m.