Triple
T1273284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Satya Nadella |
E15756
|
entity |
| Predicate | previousRoleAtMicrosoft |
P18982
|
FINISHED |
| Object | Executive Vice President of Cloud and Enterprise Group |
—
|
LITERAL 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: Executive Vice President of Cloud and Enterprise Group | Statement: [Satya Nadella, previousRoleAtMicrosoft, Executive Vice President of Cloud and Enterprise Group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousRoleAtMicrosoft Context triple: [Satya Nadella, previousRoleAtMicrosoft, Executive Vice President of Cloud and Enterprise Group]
-
A.
officePreviouslyHeldBy
chosen
Indicates that a particular office or position was formerly occupied by a specified person or entity.
-
B.
formerEmployer
Indicates that one entity previously employed the other but no longer does so.
-
C.
roleInCompanyHistory
Indicates that an entity held a specific role or position during a particular period or event in a company's history.
-
D.
workedAs
Indicates that an entity held a particular job, role, or position, performing work in that capacity.
-
E.
predecessorInRole
Indicates that one entity previously held a particular role or position that was later occupied by another entity.
- F. None of above.
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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c31602b8819087a57e8d390cae7a |
completed | March 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69a4bee0be808190a8ccac6a41851fdd |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:50 p.m.