Triple

T6789923
Position Surface form Disambiguated ID Type / Status
Subject AppleScript E155905 entity
Predicate canControl P30853 FINISHED
Object Finder 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 | Statement: [AppleScript, canControl, Finder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Finder
Context triple: [AppleScript, canControl, Finder]
  • A. 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.
  • B. Finder
    Finder is a Symfony component that provides an intuitive, object-oriented API for locating and filtering files and directories in a filesystem.
  • C. Findon
    Findon is a village in West Sussex, England, situated near the South Downs and known for its rural character and historic charm.
  • D. Findern
    Findern is a small village and civil parish in Derbyshire, England, known for its historic buildings and rural character.
  • E. Alexander Search
    Alexander Search is one of Fernando Pessoa’s English-writing heteronyms, used to compose poetry and prose distinct in style and persona from Pessoa himself.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2ab4ce88190b6311e4d5aac758c completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a8998408190b741417ce6f21f55 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:15 p.m.