Triple
T9153952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Citizendium |
E219661
|
entity |
| Predicate | founder |
P104
|
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: [Citizendium, founder, Larry Sanger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larry Sanger Context triple: [Citizendium, founder, 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.
Dave Winer
Dave Winer is a software developer and blogger best known as a pioneer of web syndication and blogging technologies, including key contributions to the development of RSS.
-
D.
Ward Cunningham
Ward Cunningham is an American computer programmer best known for creating the first wiki and contributing significantly to agile software development practices.
-
E.
Paul Resnick
Paul Resnick is an American academic and researcher known for his pioneering work in recommender systems, online communities, and human-computer interaction.
- 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_69ca83e25418819093c6503deeaf30de |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca96f87ac8190b2fc6d2b2834c1b6 |
completed | April 1, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0484e580c8190944ad76f6ef0be9d |
completed | April 3, 2026, 11:07 p.m. |
Created at: March 30, 2026, 7:20 p.m.