Triple

T21423586
Position Surface form Disambiguated ID Type / Status
Subject Cornerstone business software division E528496 entity
Predicate competition P563 FINISHED
Object Lotus 1-2-3 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: Lotus 1-2-3 | Statement: [Cornerstone business software division, competition, Lotus 1-2-3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lotus 1-2-3
Context triple: [Cornerstone business software division, competition, 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. SuperCalc
    SuperCalc is an early spreadsheet software program popular in the 1980s, especially on CP/M and MS-DOS systems.
  • D. 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.
  • E. Lotus Word Pro
    Lotus Word Pro is a word processing application developed by Lotus as part of the Lotus SmartSuite office productivity package.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee8139ce848190b812d6d07f1bdef8 completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 5:48 p.m.