Triple
T16041517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bulger |
E389107
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Jason Bulger
Jason Bulger is a former American Major League Baseball relief pitcher who played primarily for the Los Angeles Angels.
|
E1192756
|
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: Jason Bulger | Statement: [Bulger, hasNotableBearer, Jason Bulger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Bulger Context triple: [Bulger, hasNotableBearer, Jason Bulger]
-
A.
Robert Michael Ryan
Robert Michael Ryan is an actor best known for his role on the 1990s American teen sitcom "Hang Time."
-
B.
Michael Bates
Michael Bates was a British character actor known for his roles in films and television, including a notable appearance in the war epic "Patton" (1970).
-
C.
Michael Martin
Michael Martin was a British Labour politician who served as Speaker of the House of Commons in the early 21st century and was later created Baron Martin of Springburn.
-
D.
Don Harvey
Don Harvey is an American character actor known for his intense supporting roles in films such as the Vietnam War drama "Casualties of War."
-
E.
Michael Blodgett
Michael Blodgett was an American actor, screenwriter, and producer known for his work in film and television from the late 1960s onward.
- 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: Jason Bulger Triple: [Bulger, hasNotableBearer, Jason Bulger]
Generated description
Jason Bulger is a former American Major League Baseball relief pitcher who played primarily for the Los Angeles Angels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jason Bulger Target entity description: Jason Bulger is a former American Major League Baseball relief pitcher who played primarily for the Los Angeles Angels.
-
A.
Robert Michael Ryan
Robert Michael Ryan is an actor best known for his role on the 1990s American teen sitcom "Hang Time."
-
B.
Michael Bates
Michael Bates was a British character actor known for his roles in films and television, including a notable appearance in the war epic "Patton" (1970).
-
C.
Michael Martin
Michael Martin was a British Labour politician who served as Speaker of the House of Commons in the early 21st century and was later created Baron Martin of Springburn.
-
D.
Don Harvey
Don Harvey is an American character actor known for his intense supporting roles in films such as the Vietnam War drama "Casualties of War."
-
E.
Michael Blodgett
Michael Blodgett was an American actor, screenwriter, and producer known for his work in film and television from the late 1960s onward.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18340686881909135fc43a0a71b20 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe476d4488190abade3d6b4011435 |
completed | May 10, 2026, 1:50 a.m. |
| NEDg | Description generation | batch_69ffe63f757c81908c7dc3c5ae3075c6 |
completed | May 10, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe6b3f25481908dd4b6108b5d95c0 |
completed | May 10, 2026, 2 a.m. |
Created at: April 10, 2026, 4:56 a.m.