Triple

T38061186
Position Surface form Disambiguated ID Type / Status
Subject Assassin (Diablo II) E950343 entity
Predicate canUseSkill P9928 FINISHED
Object Dragon Talon NE NERFINISHED

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: Dragon Talon | Statement: [Assassin (Diablo II), canUseSkill, Dragon Talon]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canUseSkill
Context triple: [Assassin (Diablo II), canUseSkill, Dragon Talon]
  • A. canUseHero
    Indicates that an entity is permitted or able to use a specified hero character.
  • B. canUseSkillGems
    Indicates that an entity is able to equip or activate specified skill gems to gain or use their associated abilities.
  • C. canUse chosen
    Indicates that one entity has the ability, permission, or suitability to make use of another entity or resource.
  • D. canBeUsed
    Indicates that one entity is suitable or available to serve a particular function, purpose, or role in relation to another entity or context.
  • E. skillUsedFor
    Indicates that a particular skill is employed or applied to perform, achieve, or facilitate a specific task, goal, or function.
  • 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_69f76f01e63c819093b6012fc974f35a completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fc4748843c8190931432653be4890c completed May 7, 2026, 8:03 a.m.
PD Predicate disambiguation batch_69fc45646ce481908caf292ff9f06e15 completed May 7, 2026, 7:55 a.m.
Created at: May 3, 2026, 4:21 p.m.