Triple

T16649616
Position Surface form Disambiguated ID Type / Status
Subject Lindström E404567 entity
Predicate hasNotableBearer P458 FINISHED
Object Carl Lindström E443577 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: Carl Lindström | Statement: [Lindström, hasNotableBearer, Carl Lindström]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carl Lindström
Context triple: [Lindström, hasNotableBearer, Carl Lindström]
  • A. Carl Lindström chosen
    Carl Lindström was a pioneering early 20th-century German-Swedish record industry entrepreneur whose company became a major force in European recorded music.
  • B. Bernt Lindström
    Bernt Lindström was a Swedish mathematician known for his contributions to combinatorics, particularly in extremal set theory.
  • C. Carl Lindhagen
    Carl Lindhagen was a Swedish lawyer, politician, and long-serving Social Democratic mayor of Stockholm known for his progressive social reforms and advocacy for peace and democracy.
  • D. Petter Aron Lindström
    Petter Aron Lindström was a Swedish neurosurgeon best known as the first husband of actress Ingrid Bergman.
  • E. Leif Sjöberg
    Leif Sjöberg was a Swedish translator and scholar known for bringing modern Arabic literature to Scandinavian readers.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad85ec881909dc6a434a363dab1 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a50edea48190b65f4e6a9eb3ba24 completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:18 a.m.