Triple
T14924324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syracuse Orange men's lacrosse |
E371592
|
entity |
| Predicate | notableAlumnus |
P304
|
FINISHED |
| Object |
Ric Beardsley
Ric Beardsley is a former standout defenseman for Syracuse University’s men’s lacrosse team who went on to play professionally and become a well-known coach and instructor in the sport.
|
E1126327
|
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: Ric Beardsley | Statement: [Syracuse Orange men's lacrosse, notableAlumnus, Ric Beardsley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ric Beardsley Context triple: [Syracuse Orange men's lacrosse, notableAlumnus, Ric Beardsley]
-
A.
Dave Beadle
Dave Beadle is an entrepreneur best known as a founder of the American low-cost airline Allegiant Air.
-
B.
Doug Bowne
Doug Bowne is a musician best known for his work with the new wave band Tom Tom Club.
-
C.
Bryan Southcombe
Bryan Southcombe is a New Zealand-born actor and publicist best known for his former marriage to British actress Charlotte Rampling.
-
D.
Tim Besse
Tim Besse is an American entrepreneur best known as a co-founder of the employee review and job-listing platform Glassdoor.
-
E.
Chuck Beeson
Chuck Beeson is an artist known for creating cover artwork, particularly in the fantasy genre.
- 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: Ric Beardsley Triple: [Syracuse Orange men's lacrosse, notableAlumnus, Ric Beardsley]
Generated description
Ric Beardsley is a former standout defenseman for Syracuse University’s men’s lacrosse team who went on to play professionally and become a well-known coach and instructor in the sport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ric Beardsley Target entity description: Ric Beardsley is a former standout defenseman for Syracuse University’s men’s lacrosse team who went on to play professionally and become a well-known coach and instructor in the sport.
-
A.
Dave Beadle
Dave Beadle is an entrepreneur best known as a founder of the American low-cost airline Allegiant Air.
-
B.
Doug Bowne
Doug Bowne is a musician best known for his work with the new wave band Tom Tom Club.
-
C.
Bryan Southcombe
Bryan Southcombe is a New Zealand-born actor and publicist best known for his former marriage to British actress Charlotte Rampling.
-
D.
Tim Besse
Tim Besse is an American entrepreneur best known as a co-founder of the employee review and job-listing platform Glassdoor.
-
E.
Chuck Beeson
Chuck Beeson is an artist known for creating cover artwork, particularly in the fantasy genre.
- 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_69fe72c3185c8190af2cd0329d701caa |
completed | May 8, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69fe73dd1058819081e6c44a9684faa8 |
completed | May 8, 2026, 11:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe749bded08190ac872fddbd5d3004 |
completed | May 8, 2026, 11:41 p.m. |
Created at: April 10, 2026, 2:34 a.m.