Triple
T15225924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Herrema |
E363878
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | RTX |
E363866
|
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: RTX | Statement: [Jennifer Herrema, memberOf, RTX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RTX Context triple: [Jennifer Herrema, memberOf, RTX]
-
A.
RTX
RTX is a major American aerospace and defense company formed from the merger of Raytheon Company and United Technologies Corporation, known for its advanced military, aviation, and cybersecurity technologies.
-
B.
RTX
RTX is NVIDIA's line of graphics technologies and products centered on real-time ray tracing and advanced GPU performance for gaming and professional visualization.
-
C.
RTX
chosen
RTX is a rock band formed by Jennifer Herrema after the breakup of the experimental rock duo Royal Trux.
-
D.
NVIDIA RTX 4000 SFF Ada Generation
The NVIDIA RTX 4000 SFF Ada Generation is a compact professional graphics card designed for small form factor workstations, offering advanced ray tracing, AI acceleration, and high performance for demanding creative and engineering workflows.
-
E.
NVIDIA Studio
NVIDIA Studio is a platform and suite of tools, drivers, and optimizations designed to enhance performance and reliability for creative and content creation workflows on NVIDIA GPUs.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0078bb32881909927561c6c072546 |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef6a5ad48190a13f0b7bc1a6be0b |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:12 a.m.