Triple

T29428274
Position Surface form Disambiguated ID Type / Status
Subject The Girl Who Played with Fire E746354 entity
Predicate character P662 FINISHED
Object Ronald Niedermann
Ronald Niedermann is a violent, nearly pain-insensitive enforcer and key antagonist in Stieg Larsson’s Millennium series, particularly known for his role in "The Girl Who Played with Fire."
E2290590 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: Ronald Niedermann | Statement: [The Girl Who Played with Fire, character, Ronald Niedermann]
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: Ronald Niedermann
Triple: [The Girl Who Played with Fire, character, Ronald Niedermann]
Generated description
Ronald Niedermann is a violent, nearly pain-insensitive enforcer and key antagonist in Stieg Larsson’s Millennium series, particularly known for his role in "The Girl Who Played with Fire."

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_69f0a7a06e0081908add494075912eb4 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f66ac7f69c81909b76956066b0fa8d completed May 2, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5be47d9cf88190bf5598c9753518a5 completed July 18, 2026, 8:39 p.m.
NEDg Description generation batch_6a5be4fe78d8819089556c13c3750e3c completed July 18, 2026, 8:41 p.m.
NED2 Entity disambiguation (via description) batch_6a5be54e1a688190b5981f7ca4b75e68 completed July 18, 2026, 8:42 p.m.
Created at: April 28, 2026, 3:11 p.m.