Triple

T1428503
Position Surface form Disambiguated ID Type / Status
Subject Mitchell Kapor E30388 entity
Predicate notableWork P4 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: [Mitchell Kapor, notableWork, Lotus 1-2-3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lotus 1-2-3
Context triple: [Mitchell Kapor, notableWork, 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. Xerox Star system
    The Xerox Star system was an early commercial workstation that pioneered the modern graphical user interface with icons, windows, and a desktop metaphor, profoundly influencing later personal computers.
  • C. Lotus Domino
    Lotus Domino is IBM's enterprise-grade server platform that provides email, collaboration, and application hosting services for Lotus Notes and web clients.
  • D. Lotus Notes
    Lotus Notes is a collaborative client-server software platform best known for its email, calendaring, and business application capabilities, widely used in enterprises for groupware and workflow solutions.
  • E. Apple II
    The Apple II was one of the first highly successful mass-produced personal computers, helping to popularize home computing in the late 1970s and early 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_69a498fb823c8190a67ce4c4837e641a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4d9575881908bb58598e5a80590 completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad016930ec8190ab3900d6f40c4aa0 completed March 8, 2026, 4:56 a.m.
Created at: March 1, 2026, 8 p.m.