Triple

T13036426
Position Surface form Disambiguated ID Type / Status
Subject Phyllis Lindstrom E326571 entity
Predicate hasRelative P367 FINISHED
Object Lars Lindstrom E1028177 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: Lars Lindstrom | Statement: [Phyllis Lindstrom, hasRelative, Lars Lindstrom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lars Lindstrom
Context triple: [Phyllis Lindstrom, hasRelative, Lars Lindstrom]
  • A. Lars Lindstrom chosen
    Lars Lindstrom is a fictional character known as the often-mentioned but never-seen husband of Phyllis on *The Mary Tyler Moore Show*.
  • B. Lars Johanson
    Lars Johanson is a Swedish linguist renowned for his influential work on Turkic languages and language contact, and for his critical stance toward the proposed Altaic language family.
  • C. Lars Hanson
    Lars Hanson was a prominent Swedish silent film actor known for his intense dramatic performances in both European cinema and early Hollywood.
  • D. Lars Persson
    Lars Persson is a Swedish professional known for his contributions in his field, sharing the common Scandinavian surname Persson.
  • E. Lars Fleming
    Lars Fleming was a prominent Swedish statesman who served as the kingdom’s chief financial official during the era of the Swedish Empire.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97f2a71a0819098bb6cf8a4b2208a completed April 10, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a20a5ec8190bc054b3d7cae003b completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 8:55 p.m.