Triple

T17964388
Position Surface form Disambiguated ID Type / Status
Subject Backbone.js E449163 entity
Predicate hasFeature P182 FINISHED
Object Backbone.Model 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: Backbone.Model | Statement: [Backbone.js, hasFeature, Backbone.Model]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Backbone.Model
Context triple: [Backbone.js, hasFeature, Backbone.Model]
  • A. Backbone.js chosen
    Backbone.js is a lightweight JavaScript framework that provides structure to web applications by offering models, collections, views, and routers built on top of RESTful JSON and event-driven architecture.
  • B. The Model
    "The Model" is a song by the American noise rock band Big Black, featured on their 1987 album *Songs About Fucking* and known as a harsh, abrasive cover of Kraftwerk's original track.
  • C. Backbone
    Backbone is an American rapper from Atlanta best known as a member of the Dungeon Family collective and for his early-2000s Southern hip hop work.
  • D. Hanami::Model
    Hanami::Model is the data persistence and database abstraction layer of the Hanami Ruby web framework, providing repositories, entities, and database integrations.
  • E. Ember.js
    Ember.js is an open-source JavaScript framework for building ambitious, large-scale web applications using a convention-over-configuration approach.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b135cd2c8190a6190cf6611dbe08 completed April 19, 2026, 10:40 a.m.
Created at: April 10, 2026, 10:22 a.m.