Triple

T2008990
Position Surface form Disambiguated ID Type / Status
Subject Julie & Julia E43648 entity
Predicate cinematographyBy P1953 FINISHED
Object Stephen Goldblatt E259844 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: Stephen Goldblatt | Statement: [Julie & Julia, cinematographyBy, Stephen Goldblatt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephen Goldblatt
Context triple: [Julie & Julia, cinematographyBy, Stephen Goldblatt]
  • A. Stephen Goldblatt chosen
    Stephen Goldblatt is a British cinematographer known for his work on major films such as Charlie Wilson's War, Batman Forever, and Lethal Weapon.
  • B. Steven Baigelman
    Steven Baigelman is an American screenwriter and producer known for his work on biographical and crime dramas in film and television.
  • C. Johnny Gandelsman
    Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
  • D. Jonathan Goldstein
    Jonathan Goldstein is an American screenwriter and filmmaker best known for co-writing hit studio comedies such as Horrible Bosses and Spider-Man: Homecoming.
  • E. Josh Goldstein
    Josh Goldstein is a screenwriter best known for co-writing the story for Disney’s adventure film "Jungle Cruise."
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb89be08c81909eb5ea672ea46b2b completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69b20312b56081908ec4aba034592402 completed March 12, 2026, 12:04 a.m.
Created at: March 4, 2026, 7:37 p.m.