Triple
T7636446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Belsky |
E172889
|
entity |
| Predicate | coFounded |
P104
|
FINISHED |
| Object | Behance |
E29777
|
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: Behance | Statement: [Scott Belsky, coFounded, Behance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Behance Context triple: [Scott Belsky, coFounded, Behance]
-
A.
Behance
chosen
Behance is an online platform for showcasing and discovering creative work, widely used by designers, artists, and other visual professionals.
-
B.
Adobe Portfolio
Adobe Portfolio is a web-based tool from Adobe that lets creatives quickly build and host customizable online portfolios integrated with their Creative Cloud workflows.
-
C.
Portfolio
Portfolio is a business-focused imprint of Penguin Random House known for publishing books on leadership, entrepreneurship, and innovation.
-
D.
Portfolium
Portfolium is a digital portfolio and career readiness platform that helps students and professionals showcase their skills, projects, and achievements to educators and employers.
-
E.
Designit
Designit is a global strategic design and innovation consultancy known for helping organizations create user-centered products, services, and experiences.
- 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_69c69952849881908fdcea7a93bfc307 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faa95e488190962c23609e0890a5 |
completed | March 27, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89ac251308190a09814cc469d80fd |
completed | March 29, 2026, 3:21 a.m. |
Created at: March 27, 2026, 3:57 p.m.