Triple
T15440672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Mattingly |
E369889
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Donald
Donald is the first name of Don Mattingly, a former Major League Baseball first baseman and manager best known for his career with the New York Yankees.
|
E1158400
|
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: Donald | Statement: [Don Mattingly, givenName, Donald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donald Context triple: [Don Mattingly, givenName, Donald]
-
A.
Donald
Donald is the given first name of American film producer Don Simpson, known for his work on blockbuster Hollywood movies in the 1980s and 1990s.
-
B.
Donald
Donald is the given first name of Don Drysdale, the Hall of Fame Major League Baseball pitcher known for his dominant career with the Los Angeles Dodgers.
-
C.
Donald
Donald is the given name of Lord Nicholls of Birkenhead, a prominent British judge and law lord known for his influential contributions to UK jurisprudence.
-
D.
Donald
Donald is the given first name of Don Hutson, a pioneering American football wide receiver widely regarded as one of the NFL’s earliest superstars.
-
E.
Donald
Donald is the given first name of American actor and singer Don Durant, known for his roles in mid-20th-century film and television.
- 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: Donald Triple: [Don Mattingly, givenName, Donald]
Generated description
Donald is the first name of Don Mattingly, a former Major League Baseball first baseman and manager best known for his career with the New York Yankees.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Donald Target entity description: Donald is the first name of Don Mattingly, a former Major League Baseball first baseman and manager best known for his career with the New York Yankees.
-
A.
Donald
Donald is the given first name of former Major League Baseball player and manager Don Baylor.
-
B.
Donald
Donald is the given first name of Don Drysdale, the Hall of Fame Major League Baseball pitcher known for his dominant career with the Los Angeles Dodgers.
-
C.
Donald
Donald is the given first name of Richie Ashburn, a Hall of Fame American Major League Baseball center fielder and longtime Philadelphia Phillies icon.
-
D.
Donald
Donald is the given first name of influential American jazz musician, arranger, and bandleader Don Redman.
-
E.
Donald
Donald is the given first name of Don Hutson, a pioneering American football wide receiver widely regarded as one of the NFL’s earliest superstars.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03eddf258819082679970b7d2b6af |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21a5e55c81909801db54032589ac |
completed | May 9, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69ff22d425dc8190955f9f6edc952d9c |
completed | May 9, 2026, 12:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff26ef82b8819084f77c6f0aadb8e7 |
completed | May 9, 2026, 12:22 p.m. |
Created at: April 10, 2026, 3:21 a.m.