Triple

T3811405
Position Surface form Disambiguated ID Type / Status
Subject Macintosh II E93142 entity
Predicate operatingSystem P1593 FINISHED
Object System 4 E82498 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: System 4 | Statement: [Macintosh II, operatingSystem, System 4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: System 4
Context triple: [Macintosh II, operatingSystem, System 4]
  • A. System 4 chosen
    System 4 is an early version of Apple’s classic Macintosh operating system used on compact Macs like the Macintosh SE.
  • B. System 3
    System 3 is an early version of Apple’s classic Macintosh System Software, used on mid-1980s Macs such as the Macintosh Plus.
  • C. Sistema
    Sistema is a consumer food storage and kitchenware brand known for its reusable plastic containers and lunch solutions.
  • D. System 5
    System 5 is an early version of Apple’s classic Macintosh operating system used on machines like the Macintosh Plus in the late 1980s.
  • E. System M
    System M is the analog television broadcasting system used in NTSC countries, characterized by 525 lines per frame and a 60 Hz field rate.
  • 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_69aed96a60088190ab1df8390fffc935 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aee80faaa88190b05f8aec8aa5c44d completed March 9, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb373ce4819082e2d6d6c204c392 completed March 14, 2026, 6:07 a.m.
Created at: March 9, 2026, 3:16 p.m.