Triple

T9001515
Position Surface form Disambiguated ID Type / Status
Subject Monogatari Series E215048 entity
Predicate illustrator P9707 FINISHED
Object Vofan
Vofan is a Taiwanese illustrator best known for his distinctive, colorful character art and cover illustrations for Nisio Isin’s Monogatari light novel series.
E771895 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: Vofan | Statement: [Monogatari Series, illustrator, Vofan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vofan
Context triple: [Monogatari Series, illustrator, Vofan]
  • A. Hotevilla
    Hotevilla is a traditional Hopi village in northeastern Arizona known for its strong preservation of Hopi culture and resistance to outside influence.
  • B. Valfurva
    Valfurva is a mountain municipality in the Lombardy region of northern Italy, located in the Alps near the Stelvio National Park and known for its alpine landscapes and outdoor sports.
  • C. Valbo
    Valbo is a locality in Gävleborg County, Sweden, known as the hometown of NHL ice hockey star Nicklas Bäckström.
  • D. Govone
    Govone is a small Italian municipality in the Piedmont region, known for its historic castle and wine-producing hills within the Roero area.
  • E. Vassa
    Vassa is the traditional Buddhist rainy-season retreat during which monks remain in one place for intensive meditation and study.
  • 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: Vofan
Triple: [Monogatari Series, illustrator, Vofan]
Generated description
Vofan is a Taiwanese illustrator best known for his distinctive, colorful character art and cover illustrations for Nisio Isin’s Monogatari light novel series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vofan
Target entity description: Vofan is a Taiwanese illustrator best known for his distinctive, colorful character art and cover illustrations for Nisio Isin’s Monogatari light novel series.
  • A. Hotevilla
    Hotevilla is a traditional Hopi village in northeastern Arizona known for its strong preservation of Hopi culture and resistance to outside influence.
  • B. Valfurva
    Valfurva is a mountain municipality in the Lombardy region of northern Italy, located in the Alps near the Stelvio National Park and known for its alpine landscapes and outdoor sports.
  • C. Valbo
    Valbo is a locality in Gävleborg County, Sweden, known as the hometown of NHL ice hockey star Nicklas Bäckström.
  • D. Govone
    Govone is a small Italian municipality in the Piedmont region, known for its historic castle and wine-producing hills within the Roero area.
  • E. Vassa
    Vassa is the traditional Buddhist rainy-season retreat during which monks remain in one place for intensive meditation and study.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6956a6e08190bd3853a7c1c130eb completed April 1, 2026, 12:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0ddb1648190a50f8877218d9883 completed April 3, 2026, 2:38 p.m.
NEDg Description generation batch_69cfd1b4a80c8190be50b67698f56c28 completed April 3, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_69cfd2c99f1c8190b82fd98f5d3243d3 completed April 3, 2026, 2:46 p.m.
Created at: March 30, 2026, 7:05 p.m.