Triple

T3471372
Position Surface form Disambiguated ID Type / Status
Subject Vernon E. Jordan Jr. E73265 entity
Predicate boardMemberOf P10 FINISHED
Object 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: Xerox | Statement: [Vernon E. Jordan Jr., boardMemberOf, Xerox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xerox
Context triple: [Vernon E. Jordan Jr., boardMemberOf, 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. Hewlett-Packard
    Hewlett-Packard is a pioneering American technology company known for its innovations in computing, printers, and enterprise IT solutions.
  • 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. 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.
  • 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_69ad85b2fed48190948c8765e453d270 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb3af0cc81909e575828caeaeae0 completed March 8, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3680dd2c48190a06c5c320a06a71a completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:17 p.m.