Triple

T7573197
Position Surface form Disambiguated ID Type / Status
Subject Harris Savides E179296 entity
Predicate notableWork P4 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: [Harris Savides, notableWork, Greenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenberg
Context triple: [Harris Savides, notableWork, 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. Marc Greenberg
    Marc Greenberg is a film producer known for his work on the Pixar short film "The Blue Umbrella."
  • C. Jerry Greenberg
    Jerry Greenberg was an American film editor best known for his Academy Award–winning work on "The French Connection" and his influential editing on numerous major Hollywood films.
  • D. Goodwin
    Goodwin is the surname of American actress Ginnifer Goodwin, known for her roles in "Once Upon a Time" and "Big Love."
  • E. 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.
  • 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_69c69f316e50819081a271c85c06f918 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f94710a0819094508356b8d610ab completed March 27, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856ea9a2c8190a81762ac509c4c97 completed March 28, 2026, 10:32 p.m.
Created at: March 27, 2026, 3:51 p.m.