Triple

T19069737
Position Surface form Disambiguated ID Type / Status
Subject Joseph Strick E466760 entity
Predicate name P16 FINISHED
Object Joseph Strick 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: Joseph Strick | Statement: [Joseph Strick, name, Joseph Strick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Strick
Context triple: [Joseph Strick, name, Joseph Strick]
  • A. Joseph Strick chosen
    Joseph Strick was an American filmmaker best known for his bold, often controversial adaptations of major literary works, including James Joyce’s "Ulysses" and "Portrait of the Artist as a Young Man."
  • B. Johann Heermann
    Johann Heermann was a notable early 17th-century German Lutheran hymn writer and poet whose texts were widely used in Protestant church music.
  • C. Robert Ellenstein
    Robert Ellenstein was an American character actor and director known for his work in film, television, and theater during the mid-20th century.
  • D. Howard Fast
    Howard Fast was an American novelist and screenwriter best known for his historical and politically charged works, including the novel that inspired the film "Spartacus."
  • E. Sydney Schanberg
    Sydney Schanberg was a Pulitzer Prize–winning American journalist best known for his coverage of the Cambodian genocide and the basis for the film "The Killing Fields."
  • 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e19caa708190876a2cb06aa0c9cc completed April 20, 2026, 8:19 a.m.
Created at: April 10, 2026, 12:03 p.m.