Triple

T15928245
Position Surface form Disambiguated ID Type / Status
Subject Ka E386258 entity
Predicate fictionalUniverse P3758 FINISHED
Object Snow
Snow is the fictional universe in which the manga and anime series "Ka" is set, encompassing its unique world, lore, and settings.
 E1184897 NE FINISHED

How this triple was built (4 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: Snow | Statement: [Ka, fictionalUniverse, Snow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Snow
Context triple: [Ka, fictionalUniverse, Snow]
  • A. Snow
    "Snow" is a political and philosophical novel by Turkish Nobel laureate Orhan Pamuk that explores identity, secularism, and Islamism in contemporary Turkey.
  • B. Snow
    Snow is a white color variant of the iMac G3, known for its clean, minimalist appearance among the line’s iconic translucent and colorful designs.
  • C. Snow
    Snow is a common English surname borne by various notable figures in literature, science, and public life.
  • D. Snow
    "Snow" is a song featured on the album *Back to Scratch* by Welsh singer-songwriter Charlotte Church.
  • E. Snow
    Snow is a South Korean photo and video messaging app known for its augmented reality filters and stickers, similar in concept to Snapchat.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Snow
Triple: [Ka, fictionalUniverse, Snow]
Generated description
Snow is the fictional universe in which the manga and anime series "Ka" is set, encompassing its unique world, lore, and settings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Snow
Target entity description: Snow is the fictional universe in which the manga and anime series "Ka" is set, encompassing its unique world, lore, and settings.
  • A. Snow
    Snow is a South Korean photo and video messaging app known for its augmented reality filters and stickers, similar in concept to Snapchat.
  • B. Snow
    "Snow" is a political and philosophical novel by Turkish Nobel laureate Orhan Pamuk that explores identity, secularism, and Islamism in contemporary Turkey.
  • C. Snow
    Snow is frozen atmospheric precipitation in the form of ice crystals that accumulate on the ground, often creating white, wintry landscapes.
  • D. Snow
    Snow is a common English surname borne by various notable figures in literature, science, and public life.
  • E. Snow
    "Snow" is a concept progressive rock double album by Spock’s Beard, known for its elaborate storytelling and complex musicianship.
  • F. None of above. chosen

Provenance (5 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156872964819083a2fb9f86df61ba completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5b0833081909668c042234b5b75 completed May 9, 2026, 10:31 p.m.
NEDg Description generation batch_69ffb6a526188190be80658fb23cacbd completed May 9, 2026, 10:35 p.m.
NED2 Entity disambiguation (via description) batch_69ffb71cea948190a1c5998654aee8d5 completed May 9, 2026, 10:37 p.m.
Created at: April 10, 2026, 4:52 a.m.