Triple

T9965440
Position Surface form Disambiguated ID Type / Status
Subject The Fall of the House of Usher (opera) E195670 entity
Predicate dramaticClimax P46055 FINISHED
Object destruction of the House of Usher LITERAL 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: destruction of the House of Usher | Statement: [The Fall of the House of Usher (opera), dramaticClimax, destruction of the House of Usher]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dramaticClimax
Context triple: [The Fall of the House of Usher (opera), dramaticClimax, destruction of the House of Usher]
  • A. typeOfClimax
    Indicates the specific kind or category of climax that characterizes an event, narrative, or process.
  • B. hasClimaxAt chosen
    Indicates that an event, narrative, or process reaches its most intense or decisive point at a specified time, place, or segment.
  • C. dramaticTheme
    Indicates that a work, scene, or narrative centers around a particular dramatic subject, motif, or emotional conflict as its main thematic focus.
  • D. dramaticFunction
    Indicates the role or purpose that something serves within the structure or progression of a dramatic work or narrative.
  • E. hasDramaticElements
    Indicates that something contains features or qualities characteristic of drama, such as heightened emotion, tension, or conflict.
  • F. None of above.

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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb71c38488190a6f3cda11994f6a2 completed April 2, 2026, 12:23 a.m.
PD Predicate disambiguation batch_69cd1d9ae19c819099fb3635e57c79be completed April 1, 2026, 1:28 p.m.
Created at: March 30, 2026, 8:47 p.m.