Triple

T9983731
Position Surface form Disambiguated ID Type / Status
Subject Streets of Fire E196514 entity
Predicate producer P490 FINISHED
Object Joel Silver E164724 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: Joel Silver | Statement: [Streets of Fire, producer, Joel Silver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joel Silver
Context triple: [Streets of Fire, producer, Joel Silver]
  • A. Joel Silver chosen
    Joel Silver is a prominent American film producer known for high-octane action and genre-defining hits such as the "Lethal Weapon" and "The Matrix" franchises.
  • B. Charles Roven
    Charles Roven is an American film producer known for his work on major Hollywood blockbusters, including Christopher Nolan’s films such as Oppenheimer and The Dark Knight trilogy.
  • C. Robert Shaye
    Robert Shaye is an American film executive and producer best known as the founder of New Line Cinema, which he built into a major independent movie studio.
  • D. Ilya Salkind
    Ilya Salkind is a film producer best known for co-producing the 1970s Superman films and other major international productions.
  • E. Brian Grazer
    Brian Grazer is an American film and television producer and co-founder of Imagine Entertainment, known for producing acclaimed movies and TV series such as A Beautiful Mind, Apollo 13, and Arrested Development.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb8bdc0388190bbbd4bdc5ac3adec completed April 2, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b5e243548190b77328b5ce9e8028 completed April 5, 2026, 7:20 p.m.
Created at: March 30, 2026, 8:49 p.m.