Triple

T10230244
Position Surface form Disambiguated ID Type / Status
Subject Erik Renström E243319 entity
Predicate name P16 FINISHED
Object Erik Renström E243319 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: Erik Renström | Statement: [Erik Renström, name, Erik Renström]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erik Renström
Context triple: [Erik Renström, name, Erik Renström]
  • A. Erik Renström chosen
    Erik Renström is a Swedish academic and professor who serves as the rector (vice-chancellor) of Lund University.
  • B. Erik Bäckström
    Erik Bäckström is a notable individual who carries the Swedish surname Bäckström.
  • C. Erik Edlund
    Erik Edlund was a Swedish physicist and academic who mentored future Nobel laureate Svante Arrhenius and contributed to 19th-century physical science education in Sweden.
  • D. Niclas Sahlgren
    Niclas Sahlgren was an 18th-century Swedish merchant and philanthropist whose significant charitable contributions to healthcare and education led to major institutions, including Sahlgrenska University Hospital, bearing his name.
  • E. Marcus Fjellström
    Marcus Fjellström was a Swedish composer known for his darkly atmospheric, experimental works that blended contemporary classical music with electronic and cinematic elements.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d20a25dc8190bd448f7ba7a13cbd completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f73610fc8190965c4e45a9deeac6 completed April 9, 2026, 12:47 a.m.
Created at: April 6, 2026, 11:19 a.m.