Triple
T13483511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ian Baker |
E318433
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object |
Mr. Baseball
Mr. Baseball is a 1992 sports comedy film starring Tom Selleck as an aging American baseball player who continues his career in Japan.
|
E1042011
|
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: Mr. Baseball | Statement: [Ian Baker, workedOn, Mr. Baseball]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Baseball Context triple: [Ian Baker, workedOn, Mr. Baseball]
-
A.
The Babe
The Babe is a 1992 biographical sports film in which John Goodman portrays legendary baseball player Babe Ruth.
-
B.
Baseball Tonight
Baseball Tonight is a long-running ESPN television program that provides highlights, analysis, and commentary on Major League Baseball games and news.
-
C.
The God of Batting
The God of Batting is the legendary Japanese baseball figure Tetsuharu Kawakami, renowned as one of Japan’s greatest hitters and a central icon of the Yomiuri Giants.
-
D.
The Yanks
The Yanks is a common nickname for the United States men's national soccer team, reflecting its American identity and heritage.
-
E.
The Bambino
The Bambino is the legendary nickname of Babe Ruth, one of baseball’s greatest sluggers and most iconic sports figures.
- 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: Mr. Baseball Triple: [Ian Baker, workedOn, Mr. Baseball]
Generated description
Mr. Baseball is a 1992 sports comedy film starring Tom Selleck as an aging American baseball player who continues his career in Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mr. Baseball Target entity description: Mr. Baseball is a 1992 sports comedy film starring Tom Selleck as an aging American baseball player who continues his career in Japan.
-
A.
The Babe
The Babe is a 1992 biographical sports film in which John Goodman portrays legendary baseball player Babe Ruth.
-
B.
Baseball Tonight
Baseball Tonight is a long-running ESPN television program that provides highlights, analysis, and commentary on Major League Baseball games and news.
-
C.
The God of Batting
The God of Batting is the legendary Japanese baseball figure Tetsuharu Kawakami, renowned as one of Japan’s greatest hitters and a central icon of the Yomiuri Giants.
-
D.
The Yanks
The Yanks is a common nickname for the United States men's national soccer team, reflecting its American identity and heritage.
-
E.
The Bambino
The Bambino is the legendary nickname of Babe Ruth, one of baseball’s greatest sluggers and most iconic sports figures.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3868ec8190a6a1803018d4f2d8 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7463715dc8190a70a17b3ea661006 |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f74bac36e081909dae786e14883e3c |
completed | May 3, 2026, 1:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f74c5195188190bad111b301713426 |
completed | May 3, 2026, 1:23 p.m. |
Created at: April 9, 2026, 9:42 p.m.