Triple

T3753571
Position Surface form Disambiguated ID Type / Status
Subject The Promise (2016 film) E81990 entity
Predicate editedBy P1954 FINISHED
Object Steven Rosenblum E386565 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: Steven Rosenblum | Statement: [The Promise (2016 film), editedBy, Steven Rosenblum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steven Rosenblum
Context triple: [The Promise (2016 film), editedBy, Steven Rosenblum]
  • A. Steven Rosenblum chosen
    Steven Rosenblum is a film editor best known for his frequent collaborations with director Edward Zwick on movies such as "Blood Diamond," "Glory," and "The Last Samurai."
  • B. Guy Rothblum
    Guy Rothblum is a theoretical computer scientist known for his work in cryptography and complexity theory.
  • C. Donald Rosenfeld
    Donald Rosenfeld is an American film producer known for his work on acclaimed independent and art-house films, including collaborations with prominent directors and projects like "Effie Gray."
  • D. Michael Rosenberg
    Michael Rosenberg is a television producer and executive known for his work on the Western drama series "Hell on Wheels."
  • E. David Rosenbloom
    David Rosenbloom is a film editor known for his work on major Hollywood productions, including the science fiction movie "Transcendence."
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb9340e0819083215989718b4598 completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba392ad08190a66ccf58edecb722 completed March 21, 2026, 3:33 p.m.
Created at: March 8, 2026, 3:35 p.m.