Triple

T21970961
Position Surface form Disambiguated ID Type / Status
Subject John and Mary E542585 entity
Predicate starring P1507 FINISHED
Object Dustin Hoffman NE NERFINISHED

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: Dustin Hoffman | Statement: [John and Mary, starring, Dustin Hoffman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dustin Hoffman
Context triple: [John and Mary, starring, Dustin Hoffman]
  • A. Dustin Hoffman chosen
    Dustin Hoffman is an acclaimed American actor renowned for his versatile, character-driven performances in films such as "The Graduate," "Midnight Cowboy," and "Rain Man."
  • B. Ned Beatty
    Ned Beatty was an acclaimed American character actor known for his powerful supporting roles in films such as "Deliverance," "Network," and "Superman."
  • C. Stanley Hoffman
    Stanley Hoffman is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Hoffman.
  • D. Eric S. Roberts
    Eric S. Roberts is a prominent computer scientist and educator known for his influential work in computer science pedagogy, curriculum development, and widely used textbooks.
  • E. Elliott Gould
    Elliott Gould is an American actor known for his roles in films such as "M*A*S*H," "Bob & Carol & Ted & Alice," and the "Ocean's Eleven" series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12484b83081908c08e3285e0b14a9 completed April 28, 2026, 9:20 p.m.
Created at: April 16, 2026, 8:02 p.m.