Triple
T9093075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samara |
E217939
|
entity |
| Predicate | coFounder |
P2835
|
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: [Samara, coFounder, Joe Gebbia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Gebbia Context triple: [Samara, coFounder, 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.
Carl Gebbia
Carl Gebbia is an individual notable enough to be recognized as a bearer of the surname Gebbia, though little widely known public information is available about him.
-
C.
Christian Gebbia
Christian Gebbia is a relatively obscure individual about whom no widely known public information is available.
-
D.
Ben Robbins
Ben Robbins is a music producer known for his work on projects such as Charlotte Church’s self-titled album.
-
E.
Jeff Pagliocca
Jeff Pagliocca is a basketball executive best known for serving as the general manager of the WNBA’s Chicago Sky.
- 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_69ca83d8ab5881909d8fddae363b32b1 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc96b347d4819085b33d0e20834f47 |
completed | April 1, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d03007ed908190afd34cf3f32312e9 |
completed | April 3, 2026, 9:24 p.m. |
Created at: March 30, 2026, 7:14 p.m.