Triple
T78095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perkins Coie |
E1562
|
entity |
| Predicate | hasClient |
P734
|
FINISHED |
| Object | Intel |
E4435
|
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: Intel | Statement: [Perkins Coie, hasClient, Intel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Intel Context triple: [Perkins Coie, hasClient, Intel]
-
A.
Intel Corporation
chosen
Intel Corporation is a leading American semiconductor company best known for designing and manufacturing microprocessors that power the majority of the world’s personal computers and servers.
-
B.
NVIDIA Corporation
NVIDIA Corporation is a leading American technology company best known for designing powerful graphics processing units (GPUs) and AI computing platforms used in gaming, data centers, and high-performance computing.
-
C.
IBM
IBM is a multinational technology and consulting company known for its pioneering work in computer hardware, software, and enterprise services.
-
D.
Hewlett-Packard
Hewlett-Packard is a pioneering American technology company known for its innovations in computing, printers, and enterprise IT solutions.
-
E.
Microsoft
Microsoft is a multinational technology company best known for its Windows operating system, Office productivity suite, and Azure cloud computing platform.
- 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_69a24c60d19c8190a1b6c105ca59ef5b |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a24f30e5848190a8edcb37c356ce0a |
completed | Feb. 28, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a26241d4c08190885dab6aef75dcf3 |
completed | Feb. 28, 2026, 3:34 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.