Triple
T5996413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven Sinofsky |
E133480
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sinofsky |
E133480
|
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: Sinofsky | Statement: [Steven Sinofsky, familyName, Sinofsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sinofsky Context triple: [Steven Sinofsky, familyName, Sinofsky]
-
A.
Steven Sinofsky
chosen
Steven Sinofsky is an American technology executive and former Microsoft president best known for leading the development of Windows and Office.
-
B.
Eddy Cue
Eddy Cue is a senior Apple executive best known for overseeing the company’s internet software and services, including iTunes, the App Store, and iCloud.
-
C.
Lisa Su
Lisa Su is a Taiwanese-American electrical engineer and business executive best known for leading AMD’s turnaround and growth as its chief executive.
-
D.
Sundar Pichai
Sundar Pichai is an Indian-American business executive and technologist best known for leading Google and its parent company Alphabet Inc. as chief executive officer.
-
E.
Safra Catz
Safra Catz is an Israeli-American business executive best known as the longtime CEO of Oracle Corporation and one of the most powerful figures in the global technology industry.
- 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_69c00870ddbc81909880fa3864f4f38d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04e963f3c819082dd755e328ab947 |
completed | March 22, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c10876d4d0819083ac7431c8abaedd |
completed | March 23, 2026, 9:31 a.m. |
Created at: March 22, 2026, 4:05 p.m.