Triple
T13439044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweeney |
E320304
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Joe Sweeney
Joe Sweeney is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts.
|
E1042489
|
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: Joe Sweeney | Statement: [Sweeney, hasNotableBearer, Joe Sweeney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Sweeney Context triple: [Sweeney, hasNotableBearer, Joe Sweeney]
-
A.
Joseph Sweeney
Joseph Sweeney was an American character actor best known for his portrayal of the elderly Juror No. 9 in the classic courtroom drama "12 Angry Men."
-
B.
Sam Sweeney
Sam Sweeney is a recurring character on the TV sitcom "New Girl," known as one of Jessica Day’s significant romantic partners.
-
C.
Kevin Rooney
Kevin Rooney is an American boxing trainer best known for coaching Mike Tyson during his rise to the heavyweight championship in the 1980s.
-
D.
Thomas Keenan
Thomas Keenan is a name shared by several notable individuals, including scholars, writers, and public figures across various fields.
-
E.
Charlie McDermott
Charlie McDermott is an American actor best known for his role as Axl Heck on the sitcom "The Middle" and for appearances in independent films.
- 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: Joe Sweeney Triple: [Sweeney, hasNotableBearer, Joe Sweeney]
Generated description
Joe Sweeney is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joe Sweeney Target entity description: Joe Sweeney is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts.
-
A.
Joseph Sweeney
Joseph Sweeney was an American character actor best known for his portrayal of the elderly Juror No. 9 in the classic courtroom drama "12 Angry Men."
-
B.
Sam Sweeney
Sam Sweeney is a recurring character on the TV sitcom "New Girl," known as one of Jessica Day’s significant romantic partners.
-
C.
Kevin Rooney
Kevin Rooney is an American boxing trainer best known for coaching Mike Tyson during his rise to the heavyweight championship in the 1980s.
-
D.
Thomas Keenan
Thomas Keenan is a name shared by several notable individuals, including scholars, writers, and public figures across various fields.
-
E.
Charlie McDermott
Charlie McDermott is an American actor best known for his role as Axl Heck on the sitcom "The Middle" and for appearances in independent films.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee5ec488190bd0c1e990dbd2bc2 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f74621474c8190b96a8f8561451bed |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f74729e7f481909da298f70c2bc486 |
completed | May 3, 2026, 1:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f747a1d8748190a90d9e3e083c4a85 |
completed | May 3, 2026, 1:03 p.m. |
Created at: April 9, 2026, 9:40 p.m.