Triple

T4209312
Position Surface form Disambiguated ID Type / Status
Subject Restoration E93859 entity
Predicate filmAdaptationDirector P255 FINISHED
Object Michael Hoffman E398580 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: Michael Hoffman | Statement: [Restoration, filmAdaptationDirector, Michael Hoffman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Hoffman
Context triple: [Restoration, filmAdaptationDirector, Michael Hoffman]
  • A. Michael Hoffman chosen
    Michael Hoffman is a common name shared by several notable individuals, including film directors, authors, and academics.
  • B. Michael Culver
    Michael Culver is a British actor known for his character roles in film and television, including appearances in productions such as "A Passage to India" and "The Empire Strikes Back."
  • C. Peter Hoffman
    Peter Hoffman is a relatively common personal name shared by multiple individuals across various professions, including arts, academia, and business.
  • D. Michael Patterson
    Michael Patterson is a music video director best known for his work on the socially conscious hit "Where Is the Love?" by The Black Eyed Peas.
  • E. Gregory Jacobs
    Gregory Jacobs is an American film producer and director known for his longtime collaboration with Steven Soderbergh on numerous critically acclaimed movies.
  • 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_69b3451743608190808f41d17ccf2650 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b3480f80208190b08ca6ccfe9c41f6 completed March 12, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b627befdd881908b602fd80f030405 completed March 15, 2026, 3:30 a.m.
Created at: March 12, 2026, 11:03 p.m.