Triple

T3971327
Position Surface form Disambiguated ID Type / Status
Subject Autumn Sonata E92340 entity
Predicate hasCastMember P2308 FINISHED
Object Lena Nyman E407147 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: Lena Nyman | Statement: [Autumn Sonata, hasCastMember, Lena Nyman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lena Nyman
Context triple: [Autumn Sonata, hasCastMember, Lena Nyman]
  • A. Lena Nyman chosen
    Lena Nyman was a Swedish actress known for her emotionally intense and nuanced performances in both film and theater, particularly in influential Scandinavian cinema of the 1960s and 1970s.
  • B. Lena Ek
    Lena Ek is a Swedish Centre Party politician and former Minister for the Environment in Sweden.
  • C. Kristina Lugn
    Kristina Lugn was a Swedish poet, playwright, and member of the Swedish Academy known for her darkly humorous and psychologically incisive works.
  • D. Pia Lindström
    Pia Lindström is a Swedish-American television journalist and critic, best known as the eldest daughter of legendary actress Ingrid Bergman.
  • E. Sara Esberg
    Sara Esberg is a television producer known for her executive production work on series such as the psychological horror show "Swarm."
  • 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.