Triple

T7421221
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Sachs E171249 entity
Predicate coCreated P1858 FINISHED
Object Lotus 1-2-3 E29574 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: Lotus 1-2-3 | Statement: [Jonathan Sachs, coCreated, Lotus 1-2-3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lotus 1-2-3
Context triple: [Jonathan Sachs, coCreated, Lotus 1-2-3]
  • A. Lotus 1-2-3 chosen
    Lotus 1-2-3 is a pioneering spreadsheet software program for personal computers that became a dominant business application in the 1980s.
  • B. VisiCalc
    VisiCalc was the first widely used personal computer spreadsheet program, credited with helping to popularize the Apple II and launching the spreadsheet software category.
  • C. Microsoft Multiplan
    Microsoft Multiplan was an early spreadsheet program from Microsoft, released in the early 1980s as a competitor to VisiCalc and a precursor to Excel.
  • D. Lotus Word Pro
    Lotus Word Pro is a word processing application developed by Lotus as part of the Lotus SmartSuite office productivity package.
  • E. Ashton-Tate
    Ashton-Tate was a prominent American software company best known for its dBASE database management system, which was a leading product in the personal computer software market during the 1980s.
  • 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_69c68a625d048190af70eb8b63bec5a0 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2ebc520819087cfc2eb9dda0e17 completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8344541308190af8d90633cd92645 completed March 28, 2026, 8:04 p.m.
Created at: March 27, 2026, 3:11 p.m.