Triple

T18912174
Position Surface form Disambiguated ID Type / Status
Subject Secretary (2002 film) E462634 entity
Predicate cinematographyBy P1953 FINISHED
Object Steven Fierberg 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: Steven Fierberg | Statement: [Secretary (2002 film), cinematographyBy, Steven Fierberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steven Fierberg
Context triple: [Secretary (2002 film), cinematographyBy, Steven Fierberg]
  • A. Steven Fierberg chosen
    Steven Fierberg is an American cinematographer known for his work on feature films and television series, including the romantic drama "Love & Other Drugs."
  • B. William Sheinberg
    William Sheinberg is known primarily as the son of influential Hollywood executive Sidney Sheinberg.
  • C. Michael Feldman
    Michael Feldman is an American political and communications strategist best known as the husband of television journalist Savannah Guthrie.
  • D. Jon Feldman
    Jon Feldman is an American television writer and producer known for his work on various drama series.
  • E. Richard Schoenfeld
    Richard Schoenfeld is one of the three men responsible for the notorious 1976 Chowchilla school bus kidnapping in California.
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c6238e288190b30311b5d80beafb completed April 20, 2026, 6:22 a.m.
Created at: April 10, 2026, 11:58 a.m.