Triple
T11292839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warroad Warriors |
E267369
|
entity |
| Predicate | notableAlumni |
P51
|
FINISHED |
| Object |
Aaron Ness
Aaron Ness is an American professional ice hockey defenseman who has played in the NHL and AHL after a standout high school and collegiate career.
|
E915719
|
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: Aaron Ness | Statement: [Warroad Warriors, notableAlumni, Aaron Ness]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aaron Ness Context triple: [Warroad Warriors, notableAlumni, Aaron Ness]
-
A.
Gene Lockhart
Gene Lockhart was a Canadian-American character actor known for his prolific work in Hollywood films and on stage during the 1930s and 1940s.
-
B.
Louis Kane
Louis Kane is an American entrepreneur best known as a co-founder of the bakery-café chain Panera Bread.
-
C.
Jack Napier
Jack Napier is the gangster who becomes the Joker, the primary antagonist in Tim Burton’s 1989 Batman film.
-
D.
Marcus Kane
Marcus Kane is a central political leader and moral compass in the post-apocalyptic TV series "The 100," known for his evolution from strict authoritarian to compassionate advocate for peace.
-
E.
David Corvo
David Corvo is a veteran American television news producer best known for overseeing and shaping the long-running true-crime and investigative newsmagazine Dateline NBC.
- 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: Aaron Ness Triple: [Warroad Warriors, notableAlumni, Aaron Ness]
Generated description
Aaron Ness is an American professional ice hockey defenseman who has played in the NHL and AHL after a standout high school and collegiate career.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aaron Ness Target entity description: Aaron Ness is an American professional ice hockey defenseman who has played in the NHL and AHL after a standout high school and collegiate career.
-
A.
Gene Lockhart
Gene Lockhart was a Canadian-American character actor known for his prolific work in Hollywood films and on stage during the 1930s and 1940s.
-
B.
Louis Kane
Louis Kane is an American entrepreneur best known as a co-founder of the bakery-café chain Panera Bread.
-
C.
Jack Napier
Jack Napier is the gangster who becomes the Joker, the primary antagonist in Tim Burton’s 1989 Batman film.
-
D.
Marcus Kane
Marcus Kane is a central political leader and moral compass in the post-apocalyptic TV series "The 100," known for his evolution from strict authoritarian to compassionate advocate for peace.
-
E.
David Corvo
David Corvo is a veteran American television news producer best known for overseeing and shaping the long-running true-crime and investigative newsmagazine Dateline NBC.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e98b149481909f432a6b9ef8bfbb |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f4a57d6881909a1e65744111ad8b |
completed | April 19, 2026, 3:28 p.m. |
| NEDg | Description generation | batch_69e4f95cbc7c819082e3d7c3c3266708 |
completed | April 19, 2026, 3:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4ff73f3348190abfd28f716c61105 |
completed | April 19, 2026, 4:14 p.m. |
Created at: April 8, 2026, 9:32 p.m.