Triple

T1971609
Position Surface form Disambiguated ID Type / Status
Subject Mac OS 8 E42813 entity
Predicate includesComponent P1393 FINISHED
Object Finder 8 E38934 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: Finder 8 | Statement: [Mac OS 8, includesComponent, Finder 8]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Finder 8
Context triple: [Mac OS 8, includesComponent, Finder 8]
  • A. Findon
    Findon is a village in West Sussex, England, situated near the South Downs and known for its rural character and historic charm.
  • B. Finder chosen
    Finder is the primary file management and desktop navigation application for Apple's Macintosh operating systems, providing users with a graphical interface to access and organize files, folders, and drives.
  • C. Fisher
    Fisher is a common English surname borne by numerous notable individuals across fields such as economics, politics, entertainment, and sports.
  • D. Fitel
    Fitel was a financial technology startup where Jeff Bezos worked early in his career, before joining D. E. Shaw and later founding Amazon.
  • E. Fay
    Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
  • 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3f275408190affa93f8cb6a8184 completed March 7, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbdb5d7c8190ab3e7c368041c641 completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:36 p.m.