Triple

T13595147
Position Surface form Disambiguated ID Type / Status
Subject Quantum Realm E324798 entity
Predicate alsoKnownAs P39 FINISHED
Object Microverse E1049539 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: Microverse | Statement: [Quantum Realm, alsoKnownAs, Microverse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Microverse
Context triple: [Quantum Realm, alsoKnownAs, Microverse]
  • A. Microverse chosen
    The Microverse is a fictional subatomic dimension in Marvel Comics, accessible through the use of Pym Particles and known for its own unique worlds and civilizations.
  • B. LaunchCode
    LaunchCode is a nonprofit organization that provides free coding education and job placement programs to help people start careers in technology.
  • C. Youth Code
    Youth Code is an American industrial and EBM duo known for its aggressive, noise-infused sound and revival of classic industrial aesthetics.
  • D. CODEPU
    CODEPU is a prominent Chilean human rights organization that played a key role in documenting and denouncing abuses committed during Augusto Pinochet’s military dictatorship.
  • E. Udemy
    Udemy is a global online learning platform that hosts a vast marketplace of video-based courses across diverse subjects for learners and professionals.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb057f1c881909a3bb77c659a724a completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f8ffc508190a7bc69745c43a644 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:49 p.m.