Triple
T11559130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida Blazers |
E274089
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object |
Greg Latta
Greg Latta was an American professional football tight end who played in the World Football League and the NFL, most notably for the Chicago Bears.
|
E1015627
|
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: Greg Latta | Statement: [Florida Blazers, notablePlayer, Greg Latta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greg Latta Context triple: [Florida Blazers, notablePlayer, Greg Latta]
-
A.
Tim Latta
Tim Latta is a soccer executive best known for serving as the general manager of the early Major League Soccer club Kansas City Wiz (now Sporting Kansas City).
-
B.
Don Brautigam
Don Brautigam was an American illustrator best known for his striking, realistic cover art for horror and thriller novels, including works by Stephen King.
-
C.
Greg Latter
Greg Latter is a screenwriter best known for his work on the apartheid-era drama film "Goodbye Bafana."
-
D.
Brian Latture
Brian Latture is a music producer known for his work on LL Cool J’s 1989 hip hop album "Walking with a Panther."
-
E.
Dan Raudabaugh
Dan Raudabaugh is an American arena football quarterback best known for leading the Philadelphia Soul to multiple championships in the Arena Football League.
- 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: Greg Latta Triple: [Florida Blazers, notablePlayer, Greg Latta]
Generated description
Greg Latta was an American professional football tight end who played in the World Football League and the NFL, most notably for the Chicago Bears.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Greg Latta Target entity description: Greg Latta was an American professional football tight end who played in the World Football League and the NFL, most notably for the Chicago Bears.
-
A.
Tim Latta
Tim Latta is a soccer executive best known for serving as the general manager of the early Major League Soccer club Kansas City Wiz (now Sporting Kansas City).
-
B.
Don Brautigam
Don Brautigam was an American illustrator best known for his striking, realistic cover art for horror and thriller novels, including works by Stephen King.
-
C.
Greg Latter
Greg Latter is a screenwriter best known for his work on the apartheid-era drama film "Goodbye Bafana."
-
D.
Brian Latture
Brian Latture is a music producer known for his work on LL Cool J’s 1989 hip hop album "Walking with a Panther."
-
E.
Dan Raudabaugh
Dan Raudabaugh is an American arena football quarterback best known for leading the Philadelphia Soul to multiple championships in the Arena Football League.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88a899d4481909a3bce3147763b51 |
completed | April 10, 2026, 5:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0ce0a508190a2f44cbe812b5f17 |
completed | May 3, 2026, 3:28 a.m. |
| NEDg | Description generation | batch_69f6c20a1eb881908a28dc884c2005ef |
completed | May 3, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c34b9ec08190bb29458b6f43c388 |
completed | May 3, 2026, 3:38 a.m. |
Created at: April 8, 2026, 9:37 p.m.