Triple

T29229679
Position Surface form Disambiguated ID Type / Status
Subject Fatal Fury Special E741032 entity
Predicate notableCharacter P1481 FINISHED
Object Wolfgang Krauser
Wolfgang Krauser is a powerful and imposing boss character from SNK’s Fatal Fury fighting game series, known for his aristocratic demeanor and devastating combat style.
E2103927 NE 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: Wolfgang Krauser | Statement: [Fatal Fury Special, notableCharacter, Wolfgang Krauser]
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: Wolfgang Krauser
Triple: [Fatal Fury Special, notableCharacter, Wolfgang Krauser]
Generated description
Wolfgang Krauser is a powerful and imposing boss character from SNK’s Fatal Fury fighting game series, known for his aristocratic demeanor and devastating combat style.

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_69f07cbb12bc81908c1971d9de9a8d2a completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f6645d37c48190a48b3c090bfa7236 completed May 2, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3740e62798819080a04afa3929b1a9 completed June 21, 2026, 1:39 a.m.
NEDg Description generation batch_6a3742189084819080ee9c2cb39751a1 completed June 21, 2026, 1:44 a.m.
NED2 Entity disambiguation (via description) batch_6a37433130908190af4704dd7b8d4cf1 completed June 21, 2026, 1:49 a.m.
Created at: April 28, 2026, 12:18 p.m.