Triple

T28901422
Position Surface form Disambiguated ID Type / Status
Subject Valorant E732959 entity
Predicate antiCheat P109536 FINISHED
Object Riot Vanguard
Riot Vanguard is Riot Games’ always-on anti-cheat system designed to detect and prevent cheating in the tactical shooter Valorant.
E1839777 NE FINISHED

How this triple was built (3 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: Riot Vanguard | Statement: [Valorant, antiCheat, Riot Vanguard]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Riot Vanguard
Triple: [Valorant, antiCheat, Riot Vanguard]
Generated description
Riot Vanguard is Riot Games’ always-on anti-cheat system designed to detect and prevent cheating in the tactical shooter Valorant.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: antiCheat
Context triple: [Valorant, antiCheat, Riot Vanguard]
  • A. antiCorruptionGoal
    Indicates a goal or objective specifically aimed at preventing, reducing, or eliminating corruption.
  • B. hasCheatCodes
    Indicates that a game or system includes special codes or commands that allow users to bypass normal rules or gain advantages.
  • C. 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.
  • D. sideDenyingIntrusion
    Indicates that one side is actively preventing or rejecting an attempted intrusion by another.
  • E. antiDopingControl
    Indicates that an entity conducts, undergoes, or is associated with procedures to detect and prevent the use of prohibited performance-enhancing substances or methods.
  • F. None of above.

Provenance (6 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_69f05b08c2008190ac426a035a2ed66d completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f65aa8deec8190b1eef143e10c9598 completed May 2, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24d40ffd648190a2c5c08a75009c1d completed June 7, 2026, 2:14 a.m.
NEDg Description generation batch_6a24d85c0b6c8190981484ea9cab005b completed June 7, 2026, 2:33 a.m.
NED2 Entity disambiguation (via description) batch_6a24dc3904c8819083e4eed8b2371d03 completed June 7, 2026, 2:49 a.m.
PD Predicate disambiguation batch_69f6576487e081908d802f1caf59c423 completed May 2, 2026, 7:58 p.m.
Created at: April 28, 2026, 8:03 a.m.