Triple

T19986312
Position Surface form Disambiguated ID Type / Status
Subject Jesse Stone: Innocents Lost E493939 entity
Predicate writer P1360 FINISHED
Object Michael 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: Michael Brandman | Statement: [Jesse Stone: Innocents Lost, writer, Michael Brandman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Brandman
Context triple: [Jesse Stone: Innocents Lost, writer, Michael 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. Joe Brandt
    Joe Brandt was an American film industry executive and producer best known as one of the co-founders of Columbia Pictures.
  • D. Michael Brandt
    Michael Brandt is an American screenwriter, director, and producer known for co-writing action films like "2 Fast 2 Furious" and for his work on television series such as "Chicago Fire."
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65d16f60c81909ba02c0a3429ecae completed April 20, 2026, 5:06 p.m.
Created at: April 11, 2026, 3:29 p.m.