Triple

T9018558
Position Surface form Disambiguated ID Type / Status
Subject Jay Silver E215654 entity
Predicate employer P7 FINISHED
Object JoyLabz E40836 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: JoyLabz | Statement: [Jay Silver, employer, JoyLabz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JoyLabz
Context triple: [Jay Silver, employer, JoyLabz]
  • A. JoyLabz chosen
    JoyLabz is the company best known for creating the Makey Makey invention kit, which turns everyday objects into touchpads for creative, educational electronics projects.
  • B. Dreamlab
    Dreamlab is a music production and songwriting duo known for crafting polished pop tracks for major artists.
  • C. Sugar Labs
    Sugar Labs is a nonprofit organization that develops and maintains the Sugar learning platform, an open-source educational software environment originally created for the One Laptop per Child project.
  • D. Pluzz
    Pluzz was France Télévisions’ former online catch-up TV and streaming platform, later succeeded by france.tv.
  • E. Wonderlab
    Wonderlab is an interactive science exhibition space within the NEMO Science Museum that engages visitors with hands-on experiments and demonstrations.
  • 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a4085848190a6aa440e6307e93d completed April 1, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbabd6108190aa2f3c6f59d7999c completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:07 p.m.