Triple

T5206039
Position Surface form Disambiguated ID Type / Status
Subject Anglo-Saxon literature E117512 entity
Predicate notableWork P4 FINISHED
Object The Ruin E131520 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: The Ruin | Statement: [Anglo-Saxon literature, notableWork, The Ruin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Ruin
Context triple: [Anglo-Saxon literature, notableWork, The Ruin]
  • A. The Ruin chosen
    The Ruin is a melancholic Old English poem reflecting on the crumbling remains of a once-great stone city and the transience of human achievements.
  • B. The Broken Tower
    The Broken Tower is a late, introspective poem by American modernist poet Hart Crane, often read as a meditation on artistic struggle and personal crisis.
  • C. The Ruins
    The Ruins is a 2008 horror film, based on Scott Smith’s novel, about a group of tourists trapped at an isolated Mayan ruin menaced by a malevolent, sentient vine.
  • D. 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.
  • E. World Without End
    World Without End is a historical novel by Ken Follett that continues the story begun in The Pillars of the Earth, following the lives of residents in the medieval town of Kingsbridge during the 14th century.
  • 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_69bd4463dd3c81909966123f20b79d57 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a490338819080481df79d3aae01 completed March 20, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefca8a1c81908eec1baa65bb06a3 completed March 21, 2026, 7:21 p.m.
Created at: March 20, 2026, 1:47 p.m.