Triple
T11289207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doug Laird |
E267279
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Transmeta |
E50342
|
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: Transmeta | Statement: [Doug Laird, notableWork, Transmeta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Transmeta Context triple: [Doug Laird, notableWork, Transmeta]
-
A.
Transmeta
chosen
Transmeta was an innovative semiconductor company best known for its low-power x86-compatible microprocessors and for employing Linux creator Linus Torvalds.
-
B.
VIA Technologies
VIA Technologies is a Taiwanese fabless semiconductor company best known for designing low-power x86-compatible processors and chipsets for PCs and embedded systems.
-
C.
Xicor
Xicor was a semiconductor company best known for designing and manufacturing non-volatile memory and analog integrated circuits.
-
D.
Oberon Microsystems
Oberon Microsystems is a Swiss software company known for its work on the Oberon family of languages and systems, including the development of the Component Pascal programming language.
-
E.
Connectix
Connectix was a software company best known for its innovative virtualization and emulation products, including early virtual machine and disk imaging technologies.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e98875a08190b8509fe55e49d52d |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e55639a5ec8190b979d5a280397f98 |
completed | April 19, 2026, 10:24 p.m. |
Created at: April 8, 2026, 9:32 p.m.