Triple
T2016890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garrett Camp |
E44014
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object |
Expa
Expa is a startup studio and venture firm created by entrepreneur Garrett Camp to build and support early-stage technology companies.
|
E227394
|
NE FINISHED |
How this triple was built (4 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.
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.
-
B.
Expo
Expo is a popular brand best known for its dry-erase markers and related whiteboard accessories commonly used in schools, offices, and homes.
-
C.
Spontex
Spontex is a household cleaning products brand, best known for its sponges and related cleaning tools, owned by Newell Brands.
-
D.
The Expo
The Expo is a well-known multipurpose event and exhibition venue in Portland, Oregon, hosting trade shows, conventions, and community events.
-
E.
Ornex
Ornex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Expa Triple: [Garrett Camp, founded, Expa]
Generated description
Expa is a startup studio and venture firm created by entrepreneur Garrett Camp to build and support early-stage technology companies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Expa Target entity description: Expa is a startup studio and venture firm created by entrepreneur Garrett Camp to build and support early-stage technology companies.
-
A.
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.
-
B.
Expo
Expo is a popular brand best known for its dry-erase markers and related whiteboard accessories commonly used in schools, offices, and homes.
-
C.
Spontex
Spontex is a household cleaning products brand, best known for its sponges and related cleaning tools, owned by Newell Brands.
-
D.
The Expo
The Expo is a well-known multipurpose event and exhibition venue in Portland, Oregon, hosting trade shows, conventions, and community events.
-
E.
Ornex
Ornex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
- F. None of above. chosen
Provenance (5 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_69a8891201bc8190aca837be6de41579 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb8ccdb7c81909f6b3c96f79fcdfc |
completed | March 7, 2026, 5:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0af1547481909d5f2ca9c4715ace |
completed | March 8, 2026, 11:49 p.m. |
| NEDg | Description generation | batch_69ae0b76f0fc8190bb5f40689ee7f8fe |
completed | March 8, 2026, 11:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0c586bd88190ae23e84291d2fe81 |
completed | March 8, 2026, 11:55 p.m. |
Created at: March 4, 2026, 7:38 p.m.