Triple

T19510078
Position Surface form Disambiguated ID Type / Status
Subject Jesse Stone: Sea Change E488125 entity
Predicate producer P490 FINISHED
Object Steven Brandman 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 Brandman | Statement: [Jesse Stone: Sea Change, producer, Steven Brandman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steven Brandman
Context triple: [Jesse Stone: Sea Change, producer, Steven Brandman]
  • A. Michael Brandman chosen
    Michael Brandman is an American film and television producer and writer known for adapting and producing literary and theatrical works.
  • B. Jonathan Brand
    Jonathan Brand is an American academic administrator and lawyer who serves as the president of Cornell College in Mount Vernon, Iowa.
  • C. Michael Bauman
    Michael Bauman is a cinematographer best known for his work on the film "Licorice Pizza."
  • D. Chris Sprouse
    Chris Sprouse is an American comic book artist best known for his clean, dynamic style on titles like Tom Strong and other works with writer Alan Moore.
  • E. Mark Brandenburg
    Mark Brandenburg is a historic region in northeastern Germany that formed the core of the medieval Margraviate of Brandenburg and later became central to the rise of Prussia.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6351547e481909a875bba40651094 completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.