Triple
T20399842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hewlett Packard Enterprise |
E500301
|
entity |
| Predicate | acquired |
P2511
|
FINISHED |
| Object | Cray Inc. |
—
|
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: Cray Inc. | Statement: [Hewlett Packard Enterprise, acquired, Cray Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cray Inc. Context triple: [Hewlett Packard Enterprise, acquired, Cray Inc.]
-
A.
Cray Inc.
chosen
Cray Inc. is an American company renowned for designing and building high-performance supercomputers used in scientific research, government, and industry.
-
B.
Cray
Cray is a pioneering American company renowned for designing and manufacturing high-performance supercomputers used in scientific research, government, and industry.
-
C.
Amdahl Corporation
Amdahl Corporation was a pioneering American computer company best known for producing IBM-compatible mainframe systems that challenged IBM’s dominance in the 1970s and 1980s.
-
D.
Cray Gemini
Cray Gemini is a high-speed network interconnect architecture designed by Cray to enable scalable, low-latency communication in its supercomputing systems.
-
E.
Cray Urika-GX
Cray Urika-GX is a high-performance analytics platform that combines supercomputing, big data, and graph analytics capabilities for large-scale data analysis.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6798db79c819085e3a2526538726f |
completed | April 20, 2026, 7:07 p.m. |
Created at: April 16, 2026, 11:29 a.m.