Triple

T7554252
Position Surface form Disambiguated ID Type / Status
Subject Adobe Systems E178617 entity
Predicate hasCoFounder P2835 FINISHED
Object Charles Geschke E33693 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: Charles Geschke | Statement: [Adobe Systems, hasCoFounder, Charles Geschke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Geschke
Context triple: [Adobe Systems, hasCoFounder, Charles Geschke]
  • A. Charles Geschke chosen
    Charles Geschke was an American computer scientist and entrepreneur best known as the co-founder of Adobe Systems and a pioneer of desktop publishing technologies.
  • B. John Warnock
    John Warnock was an American computer scientist and co-founder of Adobe Systems, best known for pioneering the PostScript language and the PDF file format.
  • C. Victor Kilian
    Victor Kilian was an American character actor known for his prolific work in film and television from the 1920s through the 1970s.
  • D. Robert Scheifler
    Robert Scheifler is a computer scientist best known for leading the development of the X Window System at MIT.
  • E. Mitchell Baker
    Mitchell Baker is an American business leader and open-source advocate best known as the longtime chair and former CEO of Mozilla, where she has guided the development of the Firefox web browser and the organization’s internet-for-good mission.
  • 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_69c69f2da22c8190a50942ac20af70e8 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8b990148190b26a3a262cf538b3 completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86836bf588190aa1b4104c2d06a1f completed March 28, 2026, 11:45 p.m.
Created at: March 27, 2026, 3:49 p.m.