Triple

T3476924
Position Surface form Disambiguated ID Type / Status
Subject Coloring Book E73396 entity
Predicate featuredArtist P997 FINISHED
Object Future E141041 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: Future | Statement: [Coloring Book, featuredArtist, Future]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Future
Context triple: [Coloring Book, featuredArtist, Future]
  • A. Future chosen
    Future is an American rapper, singer, and songwriter known for pioneering melodic trap music and popularizing the use of Auto-Tune in modern hip-hop.
  • B. Future People
    Future People is a soulful, retro-tinged track by Alabama Shakes that blends blues-rock, funk, and psychedelic influences.
  • C. Future Man
    Future Man is a sci-fi comedy television series about a janitor and avid gamer who is recruited by mysterious visitors to save the world after beating an unbeatable video game.
  • D. Future World
    Future World was a themed land at EPCOT in Walt Disney World focused on technology, innovation, and visions of the future, featuring pavilions sponsored by major corporations.
  • E. Future Positive
    Future Positive is an investment and philanthropic organization co-founded by Twitter co-creator Biz Stone that focuses on backing socially impactful, forward-looking ventures.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb5a5cb88190be5624ae224e4c91 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3681586788190ade529f584b76396 completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:17 p.m.