Triple

T5922632
Position Surface form Disambiguated ID Type / Status
Subject Netscape JavaScript language E131733 entity
Predicate originalName P65 FINISHED
Object Mocha E24469 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: Mocha | Statement: [Netscape JavaScript language, originalName, Mocha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mocha
Context triple: [Netscape JavaScript language, originalName, Mocha]
  • A. Mocha chosen
    Mocha is a popular JavaScript test framework used primarily for running unit and integration tests in Node.js and browser-based applications.
  • B. Mocha
    Mocha is a subsidiary peak of the Carihuairazo volcanic massif in the Ecuadorian Andes.
  • C. Caffe
    Caffe is an open-source deep learning framework known for its speed and modular design, widely used in computer vision research and applications.
  • D. Cocoa
    Cocoa is Apple’s native object-oriented application framework for building graphical user interfaces and other software on macOS.
  • E. Cappachino
    Cappachino is an alias of Cappadonna, an American rapper best known for his longtime affiliation with the Wu-Tang Clan.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03804d9808190829a418adb7864aa completed March 22, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c124fda1848190894b51d45f2b0a7a completed March 23, 2026, 11:33 a.m.
Created at: March 22, 2026, 4 p.m.