Triple

T1657164
Position Surface form Disambiguated ID Type / Status
Subject Lars Bäckström E35824 entity
Predicate hasSurname P18 FINISHED
Object Bäckström E35824 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: Bäckström | Statement: [Lars Bäckström, hasSurname, Bäckström]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bäckström
Context triple: [Lars Bäckström, hasSurname, Bäckström]
  • A. Bäckström chosen
    Bäckström is a Swedish surname most prominently associated with NHL ice hockey star Nicklas Bäckström.
  • B. Norrström
    Norrström is a short but significant river in central Stockholm that connects Lake Mälaren with the Baltic Sea and flows past several of the city’s key historic and governmental buildings.
  • C. Blomstedt
    Blomstedt is a surname most prominently associated with Herbert Blomstedt, a renowned Swedish conductor known for his interpretations of the classical and romantic repertoire.
  • D. Johan Nordström
    Johan Nordström, better known as John W. Nordstrom, was a Swedish-American businessman who co-founded the upscale department store chain Nordstrom in the United States.
  • E. Jonas Alströmer
    Jonas Alströmer was an 18th-century Swedish industrialist and agricultural reformer who played a key role in modernizing Sweden’s economy and scientific institutions.
  • 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_69a88606aa808190aa0b421b4271f220 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a8d85f08190a50ade3f443b7703 completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8abe91bc8190ba363e1f7fd07b9f completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:29 p.m.