Triple

T3971419
Position Surface form Disambiguated ID Type / Status
Subject Pia Lindström E92342 entity
Predicate relative P37 FINISHED
Object Petter Lindström E96976 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: Petter Lindström | Statement: [Pia Lindström, relative, Petter Lindström]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petter Lindström
Context triple: [Pia Lindström, relative, Petter Lindström]
  • A. Petter Aron Lindström chosen
    Petter Aron Lindström was a Swedish neurosurgeon best known as the first husband of actress Ingrid Bergman.
  • B. Erik Renström
    Erik Renström is a Swedish academic and professor who serves as the rector (vice-chancellor) of Lund University.
  • C. Mats Lusth
    Mats Lusth is a former Swedish ice hockey player and coach best known for his long association with Malmö Redhawks in the Swedish leagues.
  • D. Patrik Stymne
    Patrik Stymne is a Swedish entrepreneur best known as a co-founder of the mobile gaming company King Digital Entertainment, creator of Candy Crush Saga.
  • E. Olof Mellberg
    Olof Mellberg is a retired Swedish footballer and manager best known as a commanding central defender for Aston Villa and the Sweden national team.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef995d27881908b24a5b2ef57455f completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5561cb5648190a449eb155c962d6e completed March 14, 2026, 12:35 p.m.
Created at: March 9, 2026, 3:32 p.m.