Triple
T22446214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lars Bak |
E554868
|
entity |
| Predicate | coFounded |
P104
|
FINISHED |
| Object | Toitware |
—
|
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: Toitware | Statement: [Lars Bak, coFounded, Toitware]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toitware Context triple: [Lars Bak, coFounded, Toitware]
-
A.
Toitware
chosen
Toitware is a software company co-founded by renowned virtual machine engineer Lars Bak, focusing on efficient platforms for embedded and IoT applications.
-
B.
Toit
Toit is a high-level, lightweight programming language designed for efficient execution on embedded and IoT devices, created by Danish software engineer Lars Bak.
-
C.
The Eat Up
The Eat Up is the debut EP by English actor and rapper Ed Skrein, showcasing his early work as a hip-hop artist.
-
D.
Feast on Scraps
Feast on Scraps is a compilation album by Alanis Morissette that pairs B-sides and unreleased tracks with a live concert DVD from her "Under Rug Swept" era.
-
E.
Tizer
Tizer is a British carbonated soft drink, known for its bright red color and fruity flavor, produced by the drinks company A.G. Barr.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4803908190990280ebd258cb03 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:47 p.m.