Triple

T5342431
Position Surface form Disambiguated ID Type / Status
Subject Labyrinth E123973 entity
Predicate songFeatured P20452 FINISHED
Object Underground unclear NED1 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: Underground | Statement: [Labyrinth, songFeatured, Underground]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Underground
Context triple: [Labyrinth, songFeatured, Underground]
  • A. Underground
    Underground is a 1941 World War II espionage film in which Karen Verne plays a key role, contributing to her recognition as a German-born actress in Hollywood.
  • B. Underground
    Underground is a non-fiction book by Haruki Murakami that explores the 1995 Tokyo subway sarin gas attack through interviews with victims and members of the Aum Shinrikyo cult.
  • C. Underground
    Underground is a historical drama television series that follows a group of enslaved people in the pre–Civil War American South as they attempt a daring escape via the Underground Railroad.
  • D. 6 Underground
    6 Underground is a 2019 high-octane action film directed by Michael Bay, starring Ryan Reynolds as the leader of a covert vigilante squad that fakes their deaths to take down notorious criminals.
  • E. Overground
    Overground is a suburban rail network in London that connects various districts and suburbs, complementing the London Underground system.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69bd464b07f8819095aa76577c9829e4 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85cc5a9881909e23bf9c5b697a8e completed March 20, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18cc387c8190a9fe430fe5bb38ce completed March 21, 2026, 10:16 p.m.
Created at: March 20, 2026, 2:01 p.m.