Triple
T3380724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xerox |
E71175
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Haloid Xerox |
E71175
|
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: Haloid Xerox | Statement: [Xerox, formerName, Haloid Xerox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haloid Xerox Context triple: [Xerox, formerName, Haloid 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.
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.
-
C.
Cerie Xerox
Cerie Xerox is a recurring character on the sitcom "30 Rock," known as Liz Lemon’s attractive, laid-back assistant in the TGS writers’ room.
-
D.
Remington Rand
Remington Rand was a major American business machines and early computer manufacturer, best known for producing the UNIVAC, one of the first commercial computers.
-
E.
Hewlett-Packard
Hewlett-Packard is a pioneering American technology company known for its innovations in computing, printers, and enterprise IT solutions.
- 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb5e7c7f48190afb78c311b424c93 |
completed | March 8, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3344f9b448190aab1038ead60fa48 |
completed | March 12, 2026, 9:46 p.m. |
Created at: March 8, 2026, 3:14 p.m.