Triple

T18058257
Position Surface form Disambiguated ID Type / Status
Subject Adolf Fredrik Church Cemetery E432097 entity
Predicate notableBurial P196 FINISHED
Object Ernst Rolf
Ernst Rolf was a prominent Swedish singer, actor, and revue artist of the early 20th century, known for his influential contributions to Scandinavian entertainment.
E1969063 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: Ernst Rolf | Statement: [Adolf Fredrik Church Cemetery, notableBurial, Ernst Rolf]
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: Ernst Rolf
Triple: [Adolf Fredrik Church Cemetery, notableBurial, Ernst Rolf]
Generated description
Ernst Rolf was a prominent Swedish singer, actor, and revue artist of the early 20th century, known for his influential contributions to Scandinavian entertainment.

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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4c1048c00819097c7dfbf76bb0987 completed April 19, 2026, 11:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b560e2e5481908a5112fcb3d5905b completed June 12, 2026, 12:42 a.m.
NEDg Description generation batch_6a2b5740b1e88190af5cf79a09800fc8 completed June 12, 2026, 12:48 a.m.
NED2 Entity disambiguation (via description) batch_6a2b5a4b8a9c8190a33f1916d94b808f completed June 12, 2026, 1 a.m.
Created at: April 10, 2026, 10:26 a.m.