Triple

T38463051
Position Surface form Disambiguated ID Type / Status
Subject BlizzCon 2013 E912497 entity
Predicate hasCosplayContestWinner P156475 FINISHED
Object Myra Helling (Grand Prize Cosplay Winner)
Myra Helling is a cosplayer best known for winning the grand prize in the cosplay contest at BlizzCon 2013.
 E2271868 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: Myra Helling (Grand Prize Cosplay Winner) | Statement: [BlizzCon 2013, hasCosplayContestWinner, Myra Helling (Grand Prize Cosplay Winner)]
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: Myra Helling (Grand Prize Cosplay Winner)
Triple: [BlizzCon 2013, hasCosplayContestWinner, Myra Helling (Grand Prize Cosplay Winner)]
Generated description
Myra Helling is a cosplayer best known for winning the grand prize in the cosplay contest at BlizzCon 2013.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasCosplayContestWinner
Context triple: [BlizzCon 2013, hasCosplayContestWinner, Myra Helling (Grand Prize Cosplay Winner)]
  • A. hasAwardOrEvent
    Indicates that an entity is associated with a specific award it has received or an event it is linked to.
  • B. hasNotableContestant
    Indicates that an entity (such as a competition, show, or event) includes or is associated with a contestant who is notable or distinguished in some way.
  • C. competitionWinnerFor chosen
    Indicates that an entity is the winner of a specified competition or contest.
  • D. hasCompetitionPrize
    Indicates that an entity awards or is associated with a specific prize given in the context of a competition.
  • E. hasPodiumCeremony
    Indicates that a podium ceremony is held or associated with the referenced event or competition.
  • 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_69f76e861d8c81908559031dc66e3c15 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a037c903be48190a2fafa53d7d50d42 completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41ccb4d9b08190b7896dda59475a35 completed June 29, 2026, 1:39 a.m.
NEDg Description generation batch_6a41cdab97bc8190a6fef8d57f05a86e completed June 29, 2026, 1:43 a.m.
NED2 Entity disambiguation (via description) batch_6a41ce4cee4481909d34941327630fb7 completed June 29, 2026, 1:45 a.m.
PD Predicate disambiguation batch_6a037a1e32108190897356d6a7fed879 completed May 12, 2026, 7:06 p.m.
Created at: May 3, 2026, 4:31 p.m.