Triple
T21229146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rick Rashid |
E523158
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Rick Rashid |
—
|
NE NERFINISHED |
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: Rick Rashid | Statement: [Rick Rashid, name, Rick Rashid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rick Rashid Context triple: [Rick Rashid, name, Rick Rashid]
-
A.
Rick Rashid
chosen
Rick Rashid is an American computer scientist best known as the founder of Microsoft Research and a key contributor to operating systems and computer science research.
-
B.
Larry Burns
Larry Burns is the long-lost son of the wealthy power plant owner Mr. Burns on the animated television series "The Simpsons."
-
C.
Steven Sinofsky
Steven Sinofsky is an American technology executive and former Microsoft president best known for leading the development of Windows and Office.
-
D.
Steve Ballmer
Steve Ballmer is an American businessman and former Microsoft CEO known for his energetic leadership style and ownership of the NBA’s Los Angeles Clippers.
-
E.
Ray Ozzie
Ray Ozzie is an American software entrepreneur and technologist best known for creating Lotus Notes and later serving as a key strategic leader at Microsoft.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b512ad94819087942b2ed925185f |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734ae60408190a9480b27d109b8fc |
completed | April 21, 2026, 8:26 a.m. |
Created at: April 16, 2026, 3:44 p.m.