Triple

T23009021
Position Surface form Disambiguated ID Type / Status
Subject Microsoft Multiplan E572856 entity
Predicate platform P1292 FINISHED
Object Apple III 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: Apple III | Statement: [Microsoft Multiplan, platform, Apple III]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apple III
Context triple: [Microsoft Multiplan, platform, Apple III]
  • A. Apple III chosen
    The Apple III was a business-oriented personal computer released by Apple in 1980 as the intended successor to the Apple II series, known for its advanced features but also for significant reliability issues.
  • B. Apple Lisa
    Apple Lisa was an early 1980s Apple personal computer notable for pioneering a graphical user interface and mouse-driven desktop environment.
  • C. 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.
  • D. Apple IIc
    The Apple IIc is a compact, portable member of Apple’s Apple II series of personal computers, designed as a closed, easy-to-use home and education machine in the mid-1980s.
  • E. Apple IIe
    The Apple IIe is a popular early 1980s personal computer from Apple, widely used in homes and schools and known for its expandability and large software library.
  • 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1835919b08190ba78e182b87358d4 completed April 29, 2026, 4:04 a.m.
Created at: April 17, 2026, 3:51 p.m.