Triple

T27135374
Position Surface form Disambiguated ID Type / Status
Subject Jubilee Prize of the Swedish Cancer Society E681669 entity
Predicate presentedBy P83 FINISHED
Object Swedish Cancer Society
The Swedish Cancer Society is a major non-profit organization in Sweden dedicated to funding cancer research, spreading awareness, and supporting prevention and treatment efforts nationwide.
E1758095 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: Swedish Cancer Society | Statement: [Jubilee Prize of the Swedish Cancer Society, presentedBy, Swedish Cancer Society]
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: Swedish Cancer Society
Triple: [Jubilee Prize of the Swedish Cancer Society, presentedBy, Swedish Cancer Society]
Generated description
The Swedish Cancer Society is a major non-profit organization in Sweden dedicated to funding cancer research, spreading awareness, and supporting prevention and treatment efforts nationwide.

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_69eefacbcc2081909ebf00daa23f1981 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f6247aadbc8190bcea3bfd09576920 completed May 2, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1248202b4481908f6e807e76cce810 completed May 24, 2026, 12:36 a.m.
NEDg Description generation batch_6a1249b3e9888190b3bae29310007be4 completed May 24, 2026, 12:43 a.m.
NED2 Entity disambiguation (via description) batch_6a124a8690ec8190853768e7cebe4b4e completed May 24, 2026, 12:47 a.m.
Created at: April 27, 2026, 9:06 a.m.