Triple
T8935020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doyle |
E212753
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Jack Doyle (baseball)
Jack Doyle (baseball) was a late 19th- and early 20th-century Major League Baseball first baseman and manager known for his fiery temperament and solid hitting.
|
E767757
|
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: Jack Doyle (baseball) | Statement: [Doyle, hasNotableBearer, Jack Doyle (baseball)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Doyle (baseball) Context triple: [Doyle, hasNotableBearer, Jack Doyle (baseball)]
-
A.
Todd Casey
Todd Casey is a screenwriter best known for co-writing the 2015 horror-comedy film "Krampus."
-
B.
Doby
Doby is the surname of Larry Doby, the Hall of Fame baseball player who broke the American League color barrier.
-
C.
Don Altobello
Don Altobello is an elderly, seemingly benevolent but ultimately treacherous Mafia don who plays a key antagonist role in the crime drama film "The Godfather Part III."
-
D.
Johnny Ortiz
Johnny Ortiz is an American actor best known for his role in the inspirational sports drama film "McFarland, USA."
-
E.
Jack Barry Field
Jack Barry Field is an outdoor athletic facility at the Massachusetts Institute of Technology primarily used for the university’s varsity sports programs.
- 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: Jack Doyle (baseball) Triple: [Doyle, hasNotableBearer, Jack Doyle (baseball)]
Generated description
Jack Doyle (baseball) was a late 19th- and early 20th-century Major League Baseball first baseman and manager known for his fiery temperament and solid hitting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jack Doyle (baseball) Target entity description: Jack Doyle (baseball) was a late 19th- and early 20th-century Major League Baseball first baseman and manager known for his fiery temperament and solid hitting.
-
A.
Todd Casey
Todd Casey is a screenwriter best known for co-writing the 2015 horror-comedy film "Krampus."
-
B.
Doby
Doby is the surname of Larry Doby, the Hall of Fame baseball player who broke the American League color barrier.
-
C.
Don Altobello
Don Altobello is an elderly, seemingly benevolent but ultimately treacherous Mafia don who plays a key antagonist role in the crime drama film "The Godfather Part III."
-
D.
Johnny Ortiz
Johnny Ortiz is an American actor best known for his role in the inspirational sports drama film "McFarland, USA."
-
E.
Jack Barry Field
Jack Barry Field is an outdoor athletic facility at the Massachusetts Institute of Technology primarily used for the university’s varsity sports programs.
- 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_69ca8395c438819087d7cb844ab5990c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc669138b48190a6bb4968f029a69e |
completed | April 1, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1ddac548190bf520321dd35de1c |
completed | April 3, 2026, 1:34 p.m. |
| NEDg | Description generation | batch_69cfc26e039881909f623ba5b1b7f7e1 |
completed | April 3, 2026, 1:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfc350afc08190a17c61041d6d8193 |
completed | April 3, 2026, 1:40 p.m. |
Created at: March 30, 2026, 6:58 p.m.