Triple
T734339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reed College |
E14896
|
entity |
| Predicate | hasAlumni |
P51
|
FINISHED |
| Object | Larry Sanger |
E42024
|
NE FINISHED |
How this triple was built (2 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: Larry Sanger | Statement: [Reed College, hasAlumni, Larry Sanger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larry Sanger Context triple: [Reed College, hasAlumni, Larry Sanger]
-
A.
Larry Sanger
chosen
Larry Sanger is an American Internet project developer and philosopher best known as the co-founder of Wikipedia.
-
B.
Jimmy Wales
Jimmy Wales is an American Internet entrepreneur best known as the co-founder of the free online encyclopedia Wikipedia.
-
C.
Ward Cunningham
Ward Cunningham is an American computer programmer best known for creating the first wiki and contributing significantly to agile software development practices.
-
D.
Jonathan I. Schwartz
Jonathan I. Schwartz is an American technology executive best known for serving as the CEO of Sun Microsystems during the mid-2000s.
-
E.
Conway Berners-Lee
Conway Berners-Lee was a British mathematician and computer scientist known for his work in early computer design and as the father of World Wide Web inventor Tim Berners-Lee.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a4934d9930819099eed80096b0597d |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5d8c6148190a468f2d95f7ec91f |
completed | March 1, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a654e1d10c8190b69b30cc70add604 |
completed | March 3, 2026, 3:26 a.m. |
Created at: March 1, 2026, 7:37 p.m.