Triple

T33763723
Position Surface form Disambiguated ID Type / Status
Subject HammerFall E865176 entity
Predicate formerMember P1168 FINISHED
Object Patrik Räfling
Patrik Räfling is a Swedish drummer best known for his tenure with the power metal band HammerFall during the late 1990s.
E2191287 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: Patrik Räfling | Statement: [HammerFall, formerMember, Patrik Räfling]
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: Patrik Räfling
Triple: [HammerFall, formerMember, Patrik Räfling]
Generated description
Patrik Räfling is a Swedish drummer best known for his tenure with the power metal band HammerFall during the late 1990s.

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_69f3498d3b748190aa3c4006c1f32f38 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6fc63c3988190826103e2f3876ece completed May 3, 2026, 7:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a39f8ec54e481909811ec2feefee7a2 completed June 23, 2026, 3:09 a.m.
NEDg Description generation batch_6a39fbf982688190965bf686a8521cd8 completed June 23, 2026, 3:22 a.m.
NED2 Entity disambiguation (via description) batch_6a39fd67f4808190aab9e0d94bb5e328 completed June 23, 2026, 3:28 a.m.
Created at: May 1, 2026, 1:45 a.m.