Triple

T13127570
Position Surface form Disambiguated ID Type / Status
Subject Christian Slater E311881 entity
Predicate notableWork P4 FINISHED
Object Gleaming the Cube E680918 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: Gleaming the Cube | Statement: [Christian Slater, notableWork, Gleaming the Cube]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gleaming the Cube
Context triple: [Christian Slater, notableWork, Gleaming the Cube]
  • A. Gleaming the Cube chosen
    Gleaming the Cube is a 1989 cult skateboarding-themed thriller film starring Christian Slater as a rebellious teen who investigates his adopted brother’s mysterious death.
  • B. The Cube
    The Cube is the powerful, ancient artifact in the Transformers universe capable of creating and granting life to Cybertronian robots.
  • C. The Puzzle Lab
    The Puzzle Lab is a single-player solo adventure mode in Hearthstone’s The Boomsday Project expansion, featuring a series of challenging, puzzle-based encounters.
  • D. The Crystal Ball
    The Crystal Ball is a 1902 Pre-Raphaelite-style painting by John William Waterhouse depicting a mysterious woman gazing into a crystal sphere, often interpreted as exploring themes of magic and fate.
  • E. Sugar Cube
    Sugar Cube is the popular nickname for the distinctive modernist Enso-Gutzeit headquarters building located on Helsinki’s South Harbour waterfront.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9819aac388190b59bf43cc6a49d0c completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e28e922881909584296adc95d9b4 completed May 3, 2026, 5:52 a.m.
Created at: April 9, 2026, 9:07 p.m.