Triple

T6314621
Position Surface form Disambiguated ID Type / Status
Subject Madoc E141583 entity
Predicate relatedWork P37 FINISHED
Object Thalaba the Destroyer E125794 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: Thalaba the Destroyer | Statement: [Madoc, relatedWork, Thalaba the Destroyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thalaba the Destroyer
Context triple: [Madoc, relatedWork, Thalaba the Destroyer]
  • A. Thalaba the Destroyer chosen
    Thalaba the Destroyer is an epic Romantic poem by Robert Southey that follows the adventures of a young Arab hero destined to overthrow a powerful sorcerous order.
  • B. The Demon
    "The Demon" is a narrative poem by Russian Romantic writer Mikhail Lermontov that tells the tragic love story between a fallen spirit and a mortal Georgian princess.
  • C. The Great Destroyer
    The Great Destroyer is a 2005 indie rock album by the American band Low, noted for its louder, more expansive sound compared to their earlier slowcore work.
  • D. Enchanter
    Enchanter is a classic 1983 interactive fiction fantasy game by Infocom, known for its spellcasting system and text-based adventure gameplay.
  • E. Schmendiman
    Schmendiman is a comically overconfident, dim-witted inventor in Steve Martin’s play "Picasso at the Lapin Agile," representing misguided modern ambition.
  • 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_69c008d13b8c8190be47d896eb735605 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064a197488190946c4637b3c829a5 completed March 22, 2026, 9:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e46feeec8190bdb39a48c92bacf1 completed March 27, 2026, 1:59 a.m.
Created at: March 22, 2026, 4:28 p.m.