Triple
T10802971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cagan Stadium |
E254888
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
John Cagan
John Cagan is the namesake of Cagan Stadium, likely a significant benefactor or figure associated with the institution that owns the venue.
|
E886548
|
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: John Cagan | Statement: [Cagan Stadium, namedAfter, John Cagan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Cagan Context triple: [Cagan Stadium, namedAfter, John Cagan]
-
A.
Jeff Pagliocca
Jeff Pagliocca is a basketball executive best known for serving as the general manager of the WNBA’s Chicago Sky.
-
B.
Alex Heineman
Alex Heineman is a film producer known for his work on the historical thriller "Operation Finale" and other feature films.
-
C.
David Levien
David Levien is an American screenwriter, novelist, and producer best known for co-writing crime and heist films as well as co-creating the television series "Billions."
-
D.
Ryan Sturgeon
Ryan Sturgeon is an individual notable enough to be specifically cited as a bearer of the surname Sturgeon.
-
E.
Robb Armstrong
Robb Armstrong is an American cartoonist best known as the creator of the long-running syndicated comic strip "JumpStart."
- 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: John Cagan Triple: [Cagan Stadium, namedAfter, John Cagan]
Generated description
John Cagan is the namesake of Cagan Stadium, likely a significant benefactor or figure associated with the institution that owns the venue.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Cagan Target entity description: John Cagan is the namesake of Cagan Stadium, likely a significant benefactor or figure associated with the institution that owns the venue.
-
A.
Jeff Pagliocca
Jeff Pagliocca is a basketball executive best known for serving as the general manager of the WNBA’s Chicago Sky.
-
B.
Alex Heineman
Alex Heineman is a film producer known for his work on the historical thriller "Operation Finale" and other feature films.
-
C.
David Levien
David Levien is an American screenwriter, novelist, and producer best known for co-writing crime and heist films as well as co-creating the television series "Billions."
-
D.
Ryan Sturgeon
Ryan Sturgeon is an individual notable enough to be specifically cited as a bearer of the surname Sturgeon.
-
E.
Robb Armstrong
Robb Armstrong is an American cartoonist best known as the creator of the long-running syndicated comic strip "JumpStart."
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7336feff88190b638b7d62d34da0e |
completed | April 9, 2026, 5:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de566e7d408190946864e28c294075 |
completed | April 14, 2026, 2:59 p.m. |
| NEDg | Description generation | batch_69de5eaf3cc08190935cb6ddf2020166 |
completed | April 14, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de63a902f4819089845bc6d7469c6b |
completed | April 14, 2026, 3:56 p.m. |
Created at: April 8, 2026, 9:18 p.m.