Triple

T1490829
Position Surface form Disambiguated ID Type / Status
Subject Lotus 1-2-3 E29574 entity
Predicate originalAuthor P2806 FINISHED
Object Jonathan Sachs E171249 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: Jonathan Sachs | Statement: [Lotus 1-2-3, originalAuthor, Jonathan Sachs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Sachs
Context triple: [Lotus 1-2-3, originalAuthor, Jonathan Sachs]
  • A. Jonathan Sachs chosen
    Jonathan Sachs is an American software developer best known as a co-founder of Lotus Development Corporation and co-creator of the Lotus 1-2-3 spreadsheet program.
  • B. Stephen Moore
    Stephen Moore was a British actor best known for voicing Marvin the Paranoid Android in the original radio and television adaptations of "The Hitchhiker’s Guide to the Galaxy."
  • C. Halston Sage
    Halston Sage is an American actress best known for her role as Lieutenant Alara Kitan on the science fiction television series "The Orville."
  • D. Sam Zussman
    Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
  • E. Howard Silverblatt
    Howard Silverblatt is the birth name of Howard Da Silva, an American actor and director known for his work in film, theater, and television during the mid-20th century.
  • 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_69a498da82e08190ba833330d05f380f completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6c233ec819087e1233af02aabfc completed March 1, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad232f4b80819095a608816d4d2a34 completed March 8, 2026, 7:20 a.m.
Created at: March 1, 2026, 8:12 p.m.