Triple

T38593441
Position Surface form Disambiguated ID Type / Status
Subject Valkyrie E932505 entity
Predicate fandomCategory P125185 FINISHED
Object Overwatch abilities 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: Overwatch abilities | Statement: [Valkyrie, fandomCategory, Overwatch abilities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fandomCategory
Context triple: [Valkyrie, fandomCategory, Overwatch abilities]
  • A. fandomType
    Indicates the specific category or kind of fandom relationship that exists between an entity and the subject of that fandom.
  • B. fandomClassification chosen
    Indicates how an entity is categorized or grouped within a particular fandom or fan community.
  • C. fandomScope
    Indicates the extent or boundaries of a fandom-related relationship, such as how broadly or narrowly a fan’s interest, participation, or recognition applies.
  • D. fandomGenre
    Indicates that something belongs to, is associated with, or is categorized under a particular fandom-related genre.
  • E. fandomFocus
    Indicates that one entity is primarily centered on, dedicated to, or concerned with the fan community or fan-related aspects 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_69f76ec654d48190b421111cf26e54d9 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcdb0de8c08190928cd1323f80ab5c completed May 7, 2026, 6:33 p.m.
PD Predicate disambiguation batch_69fcd9017dd88190b32a73fe78909740 completed May 7, 2026, 6:25 p.m.
Created at: May 3, 2026, 4:32 p.m.