Triple

T20125046
Position Surface form Disambiguated ID Type / Status
Subject Professor Green E490728 entity
Predicate notableWork P4 FINISHED
Object Just Be Good to Green 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: Just Be Good to Green | Statement: [Professor Green, notableWork, Just Be Good to Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Just Be Good to Green
Context triple: [Professor Green, notableWork, Just Be Good to Green]
  • A. Just Be Good to Green chosen
    "Just Be Good to Green" is a song by British rapper Professor Green featuring Lily Allen, known for its pop-rap style and chart success in the UK.
  • B. Greed to Green
    Greed to Green is a book by David Gottfried that chronicles his journey in founding the green building movement and advocates for transforming profit-driven development into environmentally sustainable practices.
  • C. Another Green World
    Another Green World is a 1975 album by Brian Eno that blends art rock with pioneering ambient textures and experimental production.
  • D. And We Go Green
    And We Go Green is a documentary film that explores the world of Formula E electric car racing and its role in promoting sustainable, eco-friendly motorsport.
  • E. Green for All
    Green for All is a U.S.-based nonprofit organization that advocates for an inclusive green economy by promoting clean energy, green jobs, and environmental justice in underserved communities.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667412b888190b43f7dd1ccdbad01 completed April 20, 2026, 5:49 p.m.
Created at: April 11, 2026, 11:31 p.m.