Triple

T19997952
Position Surface form Disambiguated ID Type / Status
Subject Frontier scripting environment E494244 entity
Predicate programmingLanguage P1592 FINISHED
Object UserTalk 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: UserTalk | Statement: [Frontier scripting environment, programmingLanguage, UserTalk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UserTalk
Context triple: [Frontier scripting environment, programmingLanguage, UserTalk]
  • A. UserTalk
    UserTalk is a scripting language used in Radio UserLand for automating tasks, processing content, and extending the application's functionality.
  • B. UserTalk scripting language chosen
    UserTalk scripting language is a proprietary scripting language used within Frontier for automating tasks, extending functionality, and building web and content-management applications.
  • C. TokenTalk
    TokenTalk is a token-passing local area network protocol developed by Apple as a variant of its AppleTalk networking architecture.
  • D. MacInTalk
    MacInTalk is Apple's early text-to-speech synthesis system for Macintosh computers, known for its distinctive robotic voice.
  • E. Talkback
    Talkback was a British television production company known for creating popular comedy and entertainment programs before merging into Talkback Thames.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe6827481909469129feb9aad91 completed April 20, 2026, 5:18 p.m.
Created at: April 11, 2026, 3:32 p.m.