Triple
T20139471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WET Design |
E491120
|
entity |
| Predicate | coFoundedBy |
P3263
|
FINISHED |
| Object | Alan Robinson |
—
|
NE NERFINISHED |
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: Alan Robinson | Statement: [WET Design, coFoundedBy, Alan Robinson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Robinson Context triple: [WET Design, coFoundedBy, Alan Robinson]
-
A.
Alan Robinson
Alan Robinson is a British computer scientist and logician best known for pioneering automated theorem proving through his development of the resolution principle and unification algorithm.
-
B.
Alan Robinson
chosen
Alan Robinson is a co-founder of WET Design, a prominent water feature design firm known for creating iconic fountains and water displays worldwide.
-
C.
Steve Decker
Steve Decker is a musician best known for his past role as a member of the alternative hip hop band Gym Class Heroes.
-
D.
Sam Ringer
Sam Ringer is an entrepreneur and technologist known for founding the AI safety and research company Anthropic.
-
E.
Michael Clemons
Michael Clemons is a professional gridiron football player known for his career as a defensive end in the Canadian Football League.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66798d59c81908ebcd6644b1b3744 |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:32 p.m.