Triple

T2788400
Position Surface form Disambiguated ID Type / Status
Subject Nathan Grossman E61866 entity
Predicate directed P7373 FINISHED
Object I Am Greta E178039 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: I Am Greta | Statement: [Nathan Grossman, directed, I Am Greta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: I Am Greta
Context triple: [Nathan Grossman, directed, I Am Greta]
  • A. "I Am Greta" chosen
    "I Am Greta" is a documentary film that follows climate activist Greta Thunberg’s rise from solitary school striker to global environmental icon.
  • B. No Is Not Enough
    "No Is Not Enough" is a political book by Naomi Klein that analyzes the rise of Donald Trump and outlines a broader progressive agenda for resisting right‑wing populism and neoliberalism.
  • C. Can’t Change Me
    "Can’t Change Me" is a rock song by Chris Cornell, best known as the lead single from his debut solo album.
  • D. 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.
  • E. Becoming
    "Becoming" is a bestselling memoir by former First Lady Michelle Obama that chronicles her life from childhood through her years in the White House and beyond.
  • 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddb3d63c8190b3ab5fa363c69db8 completed March 7, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce8e2c488190a63332f36803c295 completed March 10, 2026, 7:55 a.m.
Created at: March 6, 2026, 9:58 p.m.