Triple
T7717041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jahangir Mohammed |
E174910
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Jasper Technologies |
E33849
|
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: Jasper Technologies | Statement: [Jahangir Mohammed, employer, Jasper Technologies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jasper Technologies Context triple: [Jahangir Mohammed, employer, Jasper Technologies]
-
A.
Jasper Technologies
chosen
Jasper Technologies is a cloud-based Internet of Things (IoT) platform provider known for enabling companies to manage and monetize connected devices and services.
-
B.
Taurus Systems GmbH
Taurus Systems GmbH is a German defense company specializing in the development and production of long-range precision-guided cruise missiles.
-
C.
Wyatt Software
Wyatt Software was a software company known for employing pioneering programmer Ward Cunningham early in his career.
-
D.
Zebra Technologies
Zebra Technologies is an American company that provides enterprise asset intelligence solutions, including barcode printing, RFID, and data capture technologies for businesses worldwide.
-
E.
Ebixa
Ebixa is a brand-name medication containing memantine, used primarily to treat moderate to severe Alzheimer's disease.
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702cd0ddc8190aa23d998f55d0bd6 |
completed | March 27, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be2b1c5c8190b80029ab6b8b9a3f |
completed | March 29, 2026, 5:52 a.m. |
Created at: March 27, 2026, 4:05 p.m.