Triple
T11100560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crusoe microprocessor |
E262490
|
entity |
| Predicate | familyMember |
P566
|
FINISHED |
| Object | Transmeta TM5800 |
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 TM5800 | Statement: [Crusoe microprocessor, familyMember, Transmeta TM5800]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Transmeta TM5800 Context triple: [Crusoe microprocessor, familyMember, Transmeta TM5800]
-
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.
Intel XScale
Intel XScale is a family of ARM-based microprocessors developed by Intel for low-power, embedded, and mobile devices such as PDAs and smartphones.
-
C.
UltraSPARC T5
UltraSPARC T5 is a 16-core, 64-thread SPARC microprocessor from Oracle designed for highly parallel, enterprise-class server workloads.
-
D.
64-bit NEC VR4300
The 64-bit NEC VR4300 is a MIPS-based microprocessor used as the central processing unit in Nintendo's Nintendo 64 game console.
-
E.
UltraSPARC T1
UltraSPARC T1 is a multi-core, multi-threaded SPARC microprocessor from Sun Microsystems designed to deliver high throughput and energy-efficient performance for server workloads.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a29ee6c819092bc0da3f9255389 |
completed | April 9, 2026, 12:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e462e5c08c8190bba2e3c8ec82051b |
completed | April 19, 2026, 5:06 a.m. |
Created at: April 8, 2026, 9:27 p.m.