Triple
T14924326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syracuse Orange men's lacrosse |
E371592
|
entity |
| Predicate | notableAlumnus |
P304
|
FINISHED |
| Object |
Tim Nelson
Tim Nelson is a former standout attackman for Syracuse University’s men’s lacrosse team, recognized as one of the program’s all-time great players.
|
E1128735
|
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: Tim Nelson | Statement: [Syracuse Orange men's lacrosse, notableAlumnus, Tim Nelson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Nelson Context triple: [Syracuse Orange men's lacrosse, notableAlumnus, Tim Nelson]
-
A.
Ed Nelson
Ed Nelson is a songwriter known for collaborating with American composer and lyricist Al Hoffman on popular music.
-
B.
Ken Nelson
Ken Nelson was an influential American record producer best known for his work with country and pop artists at Capitol Records during the mid-20th century.
-
C.
Ken Nelson
Ken Nelson is a British record producer best known for his work with Coldplay, including producing their hit song "Fix You."
-
D.
Jack Nelson
Jack Nelson was an early 20th-century American actor known for his roles in silent films.
-
E.
Kent Nelson
Kent Nelson is the DC Comics sorcerer who becomes Doctor Fate, a powerful mystical hero and longtime member of the Justice Society of America.
- 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: Tim Nelson Triple: [Syracuse Orange men's lacrosse, notableAlumnus, Tim Nelson]
Generated description
Tim Nelson is a former standout attackman for Syracuse University’s men’s lacrosse team, recognized as one of the program’s all-time great players.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tim Nelson Target entity description: Tim Nelson is a former standout attackman for Syracuse University’s men’s lacrosse team, recognized as one of the program’s all-time great players.
-
A.
Ed Nelson
Ed Nelson is a songwriter known for collaborating with American composer and lyricist Al Hoffman on popular music.
-
B.
Ken Nelson
Ken Nelson was an influential American record producer best known for his work with country and pop artists at Capitol Records during the mid-20th century.
-
C.
Ken Nelson
Ken Nelson is a British record producer best known for his work with Coldplay, including producing their hit song "Fix You."
-
D.
Jack Nelson
Jack Nelson was an early 20th-century American actor known for his roles in silent films.
-
E.
Kent Nelson
Kent Nelson is the DC Comics sorcerer who becomes Doctor Fate, a powerful mystical hero and longtime member of the Justice Society of America.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6323f8c8190af02d06352d459c3 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e88e4a08190a56b4a1336e07bdf |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe7fe58ba481908ac8e4112c28c279 |
completed | May 9, 2026, 12:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe80be100481908dcf07b683fc1411 |
completed | May 9, 2026, 12:33 a.m. |
Created at: April 10, 2026, 2:34 a.m.