Triple

T15615972
Position Surface form Disambiguated ID Type / Status
Subject Sara E375411 entity
Predicate platform P1292 FINISHED
Object Apple III E77069 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: Apple III | Statement: [Sara, platform, Apple III]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apple III
Context triple: [Sara, 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 (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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e980b748190b43c0b650bf1e629 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff678a9fac81908030726054ff5a99 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:13 a.m.