Triple

T2384472
Position Surface form Disambiguated ID Type / Status
Subject OPENSTEP E46387 entity
Predicate influenced P9 FINISHED
Object Cocoa E41437 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: Cocoa | Statement: [OPENSTEP, influenced, Cocoa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cocoa
Context triple: [OPENSTEP, influenced, Cocoa]
  • A. Cocoa chosen
    Cocoa is Apple’s native object-oriented application framework for building graphical user interfaces and other software on macOS.
  • B. Mocha
    Mocha is a popular JavaScript test framework used primarily for running unit and integration tests in Node.js and browser-based applications.
  • C. Caramelo
    "Caramelo" is a popular reggaeton/Latin urban hit song by Puerto Rican singer Ozuna, known for its catchy melody and romantic lyrics.
  • D. Cinnamon
    Cinnamon is a modern, user-friendly desktop environment for Linux systems that offers a traditional, Windows-like interface with advanced customization options.
  • E. The Bean
    The Bean is a famous stainless steel public sculpture by artist Anish Kapoor located in Chicago’s Millennium Park, renowned for its highly polished, reflective surface and iconic, bean-like shape.
  • 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_69a88a1554a48190a0180682bcf099be completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc7bc87d0819090cd9d19d748bcc3 completed March 7, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea8bae2ec8190962479832bf7762e completed March 9, 2026, 11:02 a.m.
Created at: March 4, 2026, 7:57 p.m.