Triple
T13347238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim McKelvey |
E317983
|
entity |
| Predicate | coFounded |
P104
|
FINISHED |
| Object | Block, Inc. |
E140619
|
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: Block, Inc. | Statement: [Jim McKelvey, coFounded, Block, Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Block, Inc. Context triple: [Jim McKelvey, coFounded, Block, Inc.]
-
A.
Block, Inc.
chosen
Block, Inc. is a U.S.-based financial technology company best known for its Square payment platform and Cash App services.
-
B.
Box, Inc.
Box, Inc. is a cloud content management and file-sharing company that provides secure collaboration and storage solutions for businesses.
-
C.
The Woodbridge Company
The Woodbridge Company is a Canadian private holding and investment firm that serves as the primary investment vehicle for the Thomson family, including its controlling interest in Thomson Reuters.
-
D.
United Company
United Company was a prominent late 17th-century London theatre company formed by the merger of the King’s Company and the Duke’s Company, active during the Restoration period.
-
E.
Yorkin Company
Yorkin Company is a film and television production company best known for producing works such as the comedy film "Come Blow Your Horn."
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e89c65c819093f3bea11d6073c5 |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f439b3c8190b35fd4d097d65068 |
completed | May 3, 2026, 10:11 a.m. |
Created at: April 9, 2026, 9:31 p.m.