Triple

T20417239
Position Surface form Disambiguated ID Type / Status
Subject Sectumsempra E500744 entity
Predicate counterSpell P109536 FINISHED
Object Vulnera Sanentur 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: Vulnera Sanentur | Statement: [Sectumsempra, counterSpell, Vulnera Sanentur]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: counterSpell
Context triple: [Sectumsempra, counterSpell, Vulnera Sanentur]
  • A. counterplay
    Indicates a responsive action or strategy taken to oppose, mitigate, or neutralize another party’s move or advantage.
  • B. usedSpell
    Indicates that one entity has cast or employed a particular spell on or in relation to another entity or context.
  • C. spells
    Indicates that one entity writes or names the letters of a word or sequence in their correct order for another entity or context.
  • D. counterattackBy
    Indicates that an entity launches a retaliatory attack in response to an initial attack carried out by another entity.
  • E. counterMeasureAgainst chosen
    Indicates a relationship where one entity serves as a response or defensive action intended to prevent, mitigate, or neutralize the effects of another entity.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a44ecf48190ba5a3872af500dc8 completed April 20, 2026, 7:11 p.m.
PD Predicate disambiguation batch_69e5766df0008190a73c4f613c29678f completed April 20, 2026, 12:42 a.m.
Created at: April 16, 2026, 11:30 a.m.