Triple

T2094367
Position Surface form Disambiguated ID Type / Status
Subject Cecilia Nessen E32745 entity
Predicate notableWork P4 FINISHED
Object Greta (working title of I Am Greta) E3481 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: Greta (working title of I Am Greta) | Statement: [Cecilia Nessen, notableWork, Greta (working title of I Am Greta)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greta (working title of I Am Greta)
Context triple: [Cecilia Nessen, notableWork, Greta (working title of I Am Greta)]
  • A. "I Am Greta"
    "I Am Greta" is a documentary film that follows climate activist Greta Thunberg’s rise from solitary school striker to global environmental icon.
  • B. documentary film "I Am Greta" chosen
    "I Am Greta" is a documentary film that follows Swedish climate activist Greta Thunberg’s rise from school strike organizer to global symbol of the fight against climate change.
  • C. Greta
    Greta is a small town located within the Hunter Region of New South Wales, Australia.
  • D. Greta
    Greta is a feminine given name, commonly used as a diminutive or variant of names like Margaret in various European languages.
  • E. In a Better World
    In a Better World is a 2010 Danish drama film directed by Susanne Bier that explores themes of revenge, forgiveness, and moral responsibility through intertwined stories in Denmark and an African refugee camp.
  • 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_69a885eba0708190999696a45cbec816 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba98c32081908a243bc7088a1510 completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5189bc088190b142dde85cad6676 completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:43 p.m.