Triple

T10717242
Position Surface form Disambiguated ID Type / Status
Subject Ladytron E252708 entity
Predicate album P1995 FINISHED
Object Light & Magic E881263 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: Light & Magic | Statement: [Ladytron, album, Light & Magic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Light & Magic
Context triple: [Ladytron, album, Light & Magic]
  • A. Light & Magic
    Light & Magic is the 2002 synth-pop and electroclash album by British electronic band Ladytron, noted for its sleek production and dark, futuristic sound.
  • B. The World of CineMagic
    The World of CineMagic was a former themed area at Universal Studios Hollywood that celebrated the magic of filmmaking and cinematic special effects.
  • C. Wonderland of Lights
    Wonderland of Lights is a large annual holiday light festival in Marshall, Texas, featuring elaborate Christmas light displays and seasonal festivities.
  • D. The Magic
    The Magic is a self-help book by Rhonda Byrne that expands on the themes of The Secret by focusing on the transformative power of gratitude.
  • E. Fantastic Light
    Fantastic Light was a top-class international Thoroughbred racehorse best known for his multiple Group 1 victories and championship performances in the early 2000s.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6ff3566e88190b5c0c6d1b159dd45 completed April 9, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb71dd6f88190beb99ca75914fb09 completed April 12, 2026, 3:15 p.m.
Created at: April 8, 2026, 9:13 p.m.