Triple

T19465022
Position Surface form Disambiguated ID Type / Status
Subject Africa Screams E486970 entity
Predicate screenwriter P2831 FINISHED
Object Leonard B. Stern 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: Leonard B. Stern | Statement: [Africa Screams, screenwriter, Leonard B. Stern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonard B. Stern
Context triple: [Africa Screams, screenwriter, Leonard B. Stern]
  • A. Leonard B. Stern chosen
    Leonard B. Stern was an American television writer, producer, and director best known for his work on classic TV comedies and crime dramas.
  • B. Leonard N. Stern
    Leonard N. Stern is an American billionaire businessman and philanthropist best known for his major contributions to New York University, after whom its Stern School of Business is named.
  • C. Joseph E. Levine
    Joseph E. Levine was an influential American film producer and distributor known for aggressively marketing and popularizing both foreign and domestic films in the mid-20th century.
  • D. Larry A. Lebofsky
    Larry A. Lebofsky is an American astronomer known for his work in planetary science and the study of ring systems around planets.
  • E. Morris S. Levy
    Morris S. Levy is a film producer known for his work on the movie "Café Society."
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633d0fe3c8190b637f78bfad704d0 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:39 p.m.