Triple
T7366895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allison Chesky |
E169891
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object | Brian Chesky |
E31512
|
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: Brian Chesky | Statement: [Allison Chesky, hasSibling, Brian Chesky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Chesky Context triple: [Allison Chesky, hasSibling, Brian Chesky]
-
A.
Brian Chesky
chosen
Brian Chesky is an American entrepreneur and co-founder/CEO of Airbnb, a leading global home-sharing and travel marketplace.
-
B.
Allison Chesky
Allison Chesky is known as the sister of Airbnb co-founder and CEO Brian Chesky.
-
C.
Travis Kalanick
Travis Kalanick is an American entrepreneur best known as the co-founder and former CEO of the ride-hailing company Uber.
-
D.
Tony Hsieh
Tony Hsieh was an American entrepreneur and venture capitalist best known for transforming Zappos into a pioneering online retailer celebrated for its customer service–driven culture.
-
E.
Anthony Hsieh
Anthony Hsieh is an American entrepreneur best known as the founder and former CEO of loanDepot, one of the largest nonbank mortgage lenders in the United States.
- 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_69c802bc25908190ad444de63b7526a0 |
completed | March 28, 2026, 4:33 p.m. |
Created at: March 27, 2026, 3:06 p.m.