Triple
T9431835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garrett Camp |
E227395
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Expa |
E227394
|
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: Expa | Statement: [Garrett Camp, founded, Expa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Expa Context triple: [Garrett Camp, founded, Expa]
-
A.
Expa
chosen
Expa is a startup studio and venture firm created by entrepreneur Garrett Camp to build and support early-stage technology companies.
-
B.
EXPE
EXPE is the stock ticker symbol for Expedia Group, a major American online travel company that operates brands like Expedia.com, Hotels.com, and Vrbo.
-
C.
Expo
Expo is an open-source platform and toolchain for building, deploying, and iterating on React Native applications.
-
D.
Expo
Expo is a popular brand best known for its dry-erase markers and related whiteboard accessories commonly used in schools, offices, and homes.
-
E.
Spontex
Spontex is a household cleaning products brand, best known for its sponges and related cleaning tools, owned by Newell Brands.
- 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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e6059bc8190a7e98aef3caabd0b |
completed | April 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d122484a90819080e406a7ae5c61fe |
completed | April 4, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:49 p.m.