Triple

T10718153
Position Surface form Disambiguated ID Type / Status
Subject Let There Be Love E252738 entity
Predicate album P1995 FINISHED
Object Lotus E881281 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: Lotus | Statement: [Let There Be Love, album, Lotus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lotus
Context triple: [Let There Be Love, album, Lotus]
  • A. Lotus
    The lotus is a sacred aquatic flower widely revered in Indian culture and religion, symbolizing purity, beauty, and spiritual enlightenment.
  • B. Lotus
    Lotus is a pioneering software company best known for its Lotus 1-2-3 spreadsheet program, which was a dominant application in the early days of personal computing.
  • C. Lotus chosen
    "Lotus" is a studio album by the Japanese rock band Your Body, showcasing their distinctive sound and musical style.
  • D. The Lotus
    The Lotus is a distinctive stage at Belgium’s Tomorrowland electronic dance music festival, known for its elaborate design and immersive audiovisual experience.
  • E. The Lotus
    The Lotus is a component or segment of the larger work "The Broken Wing," likely representing a distinct chapter, section, or thematic part within that overall creation.
  • 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_69d6ff36558c81908682adbe7b5dce05 completed April 9, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbd9df306881908aef5c6e8b4e78dc completed April 12, 2026, 5:43 p.m.
Created at: April 8, 2026, 9:13 p.m.