Triple
T7366896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Chesky |
E169891
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object | Allison Chesky |
E169891
|
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: Allison Chesky | Statement: [Brian Chesky, hasSibling, Allison Chesky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allison Chesky Context triple: [Brian Chesky, hasSibling, Allison Chesky]
-
A.
Allison Chesky
chosen
Allison Chesky is known as the sister of Airbnb co-founder and CEO Brian Chesky.
-
B.
Brian Chesky
Brian Chesky is an American entrepreneur and co-founder/CEO of Airbnb, a leading global home-sharing and travel marketplace.
-
C.
Gina Gebbia
Gina Gebbia is a notable individual recognized for sharing the Gebbia surname, which is associated with several prominent public figures.
-
D.
Jean Case
Jean Case is an American businesswoman, philanthropist, and impact investing pioneer who co-founded the Case Foundation and serves as the first female chair of the National Geographic Society.
-
E.
Maggie Greenwald
Maggie Greenwald is an American film and television director and screenwriter known for character-driven dramas such as "The Ballad of Little Jo" and various acclaimed TV movies.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f17ea0608190955ac3474f6da7bb |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810d9717c819099122cd64f9268fc |
completed | March 28, 2026, 5:33 p.m. |
Created at: March 27, 2026, 3:06 p.m.