Triple
T1482239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Gebbia |
E30983
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Joe Gebbia |
E30983
|
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: Joe Gebbia | Statement: [Joe Gebbia, name, Joe Gebbia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Gebbia Context triple: [Joe Gebbia, name, Joe Gebbia]
-
A.
Joe Gebbia
chosen
Joe Gebbia is an American designer and entrepreneur best known as a co-founder of the home-sharing platform Airbnb.
-
B.
Dustin Moskovitz
Dustin Moskovitz is an American entrepreneur and philanthropist best known as a co-founder of Facebook and the productivity software company Asana.
-
C.
Jeff Weiner
Jeff Weiner is an American business executive best known for serving as the longtime CEO of LinkedIn, where he oversaw the company’s rapid growth and acquisition by Microsoft.
-
D.
Parker Bowles
Parker Bowles is the surname of the British aristocratic family most prominently associated with Queen Camilla, the Queen Consort of the United Kingdom.
-
E.
Andy Bernard
Andy Bernard is a fictional, a cappella-loving salesman and later regional manager on the U.S. television series "The Office," known for his insecurity, anger issues, and musical outbursts.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c6782f088190930d25a56161e2b3 |
completed | March 1, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad15b1bea08190a1e21ddc15148d3a |
completed | March 8, 2026, 6:22 a.m. |
Created at: March 1, 2026, 8:11 p.m.