Triple

T11544614
Position Surface form Disambiguated ID Type / Status
Subject Demon Hunter E273749 entity
Predicate classMechanic P23573 FINISHED
Object self-damage synergy 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: self-damage synergy | Statement: [Demon Hunter, classMechanic, self-damage synergy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: classMechanic
Context triple: [Demon Hunter, classMechanic, self-damage synergy]
  • A. featuresMechanic
    Indicates that something includes or incorporates a particular mechanic as part of its design or functionality.
  • B. associatedWithMechanic chosen
    Indicates a relationship where an entity is connected or linked to a mechanic, such as a process, rule, or functional mechanism involved in its operation or behavior.
  • C. driveMechanism
    Indicates the mechanism or component that transmits power to drive or actuate another part of a system.
  • D. engine
    Indicates a relationship where something functions as, contains, or is driven by an engine as its source of mechanical power or propulsion.
  • E. gear
    Indicates that one entity functions as a gear or toothed mechanical component that transmits motion or force to 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d886e1d754819089f3b6be3404fa0b completed April 10, 2026, 5:13 a.m.
PD Predicate disambiguation batch_69d8087cbe7c819085680f3d67ccc978 completed April 9, 2026, 8:13 p.m.
Created at: April 8, 2026, 9:37 p.m.