Triple
T7516566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jassy |
E177659
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Andy Jassy |
E33396
|
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: Andy Jassy | Statement: [Jassy, usedBy, Andy Jassy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andy Jassy Context triple: [Jassy, usedBy, Andy Jassy]
-
A.
Andy Jassy
chosen
Andy Jassy is an American business executive best known as the president and CEO of Amazon and the founding leader of Amazon Web Services (AWS).
-
B.
Jeff Bezos
Jeff Bezos is an American entrepreneur and investor best known as the billionaire tech magnate who built Amazon into one of the world’s largest e-commerce and cloud computing companies.
-
C.
John Stankey
John Stankey is an American business executive best known as the chief executive officer of AT&T.
-
D.
Eric Packer
Eric Packer is the billionaire asset manager protagonist of Don DeLillo’s novel "Cosmopolis," whose limousine-bound journey across Manhattan exposes his psychological unraveling amid the chaos of global capitalism.
-
E.
Satya Nadella
Satya Nadella is an Indian-American business executive who serves as the CEO and chairman of Microsoft, known for steering the company’s transformation toward cloud computing and AI.
- 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_69c69f2891148190a484f3b8222c6f1b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5f595148190b36649b0095bb898 |
completed | March 27, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84621ba688190b85ee787b856b138 |
completed | March 28, 2026, 9:20 p.m. |
Created at: March 27, 2026, 3:46 p.m.