Triple
T17919324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Woods |
E448023
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Xerox |
—
|
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: Xerox | Statement: [Don Woods, employer, Xerox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xerox Context triple: [Don Woods, employer, Xerox]
-
A.
Xerox
chosen
Xerox is an American corporation best known for pioneering photocopiers and influential computing innovations, including early graphical user interfaces and office software.
-
B.
Ricoh
Ricoh is a Japanese multinational imaging and electronics company best known for its cameras, printers, copiers, and office equipment solutions.
-
C.
Konica Minolta
Konica Minolta is a Japanese multinational technology company best known for its imaging products, including printers, copiers, and optical devices.
-
D.
Kodak Alaris
Kodak Alaris is a company that focuses on imaging and photographic products and services, including film, photo printing, and document management solutions, formed from the former consumer imaging assets of Eastman Kodak.
-
E.
Xerox Network Systems
Xerox Network Systems (XNS) is a pioneering suite of network protocols developed by Xerox in the late 1970s that strongly influenced later networking technologies and protocol stacks.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a30844548190b7a43c2f093f35d7 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 10:20 a.m.