Triple
T2277477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trailblazer |
E51204
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Marc Benioff |
E9389
|
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: Marc Benioff | Statement: [Trailblazer, author, Marc Benioff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marc Benioff Context triple: [Trailblazer, author, Marc Benioff]
-
A.
Marc Benioff
chosen
Marc Benioff is an American billionaire entrepreneur and philanthropist best known as the co-founder, chairman, and CEO of cloud software company Salesforce.
-
B.
Dick Costolo
Dick Costolo is an American entrepreneur and former stand-up comedian best known for serving as CEO of Twitter during its rapid growth and public offering in the early 2010s.
-
C.
John Donahoe
John Donahoe is an American business executive best known as the CEO of Nike, Inc. and former CEO of eBay and ServiceNow.
-
D.
Reid Hoffman
Reid Hoffman is an American entrepreneur, venture capitalist, and co-founder of LinkedIn, known for his influential role in the tech industry and philanthropy.
-
E.
Mitchell Kapor
Mitchell Kapor is an American entrepreneur and software pioneer best known for founding Lotus Development Corporation and co-creating the Lotus 1-2-3 spreadsheet, as well as for his philanthropy and advocacy in technology and civil liberties.
- 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_69a88b08e4308190bdac9aebcca1c91a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc1ee22988190b7fa28b0b62e8668 |
completed | March 7, 2026, 6:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef08a105081908455f482c6b2a880 |
completed | March 9, 2026, 4:08 p.m. |
Created at: March 4, 2026, 7:48 p.m.