Triple

T1108783
Position Surface form Disambiguated ID Type / Status
Subject Greta Gerwig E25544 entity
Predicate actedIn P1668 FINISHED
Object Greenberg E126889 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: Greenberg | Statement: [Greta Gerwig, actedIn, Greenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenberg
Context triple: [Greta Gerwig, actedIn, Greenberg]
  • A. Greenberg chosen
    Greenberg is a 2010 indie dramedy film directed by Noah Baumbach and starring Ben Stiller as a troubled man reevaluating his life while housesitting in Los Angeles.
  • B. Goodwin
    Goodwin is a masculine given name most notably borne by Goodwin Knight, who served as the 31st governor of California in the mid-20th century.
  • C. Weingarten
    Weingarten is a small locality within the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • D. Bronstein
    Bronstein is the original family surname of the Russian revolutionary leader Leon Trotsky.
  • E. Gavvy Cravath
    Gavvy Cravath was a power-hitting early 20th-century Major League Baseball outfielder best known for leading the National League in home runs multiple times with the Philadelphia Phillies.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e6134481909f348986a25f65c6 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac53935d108190955343cd1d3716b0 completed March 7, 2026, 4:34 p.m.
Created at: March 1, 2026, 7:43 p.m.