Triple

T8987443
Position Surface form Disambiguated ID Type / Status
Subject Lisbeth E214703 entity
Predicate hasRelatedName P3889 FINISHED
Object Lisbeth Salander E307553 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: Lisbeth Salander | Statement: [Lisbeth, hasRelatedName, Lisbeth Salander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisbeth Salander
Context triple: [Lisbeth, hasRelatedName, Lisbeth Salander]
  • A. Lisbeth
    Lisbeth is a feminine given name, typically used as a shortened or variant form of Elizabeth.
  • B. Cecilia Krull
    Cecilia Krull is a Spanish singer best known for performing the iconic theme song "My Life Is Going On" from the television series Money Heist.
  • C. Hanna Lejonqvist
    Hanna Lejonqvist is a film editor known for her work on the documentary "I Am Greta," which follows climate activist Greta Thunberg.
  • D. Lisbeth Salander in The Girl with the Dragon Tattoo chosen
    Lisbeth Salander in *The Girl with the Dragon Tattoo* is a brilliant but troubled hacker and investigator known for her photographic memory, social isolation, and fierce pursuit of justice against abusive men.
  • E. Karla
    Karla is a villainous mastermind character who serves as the primary antagonist opposing the bumbling spy Johnny English in the comedy film series.
  • 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_69ca839f76bc8190a4b7123cdd682199 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67ef19108190ac518c4f744b6d60 completed April 1, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb903e9c8190bc570a05154de2c5 completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:04 p.m.